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https://github.com/ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
https://github.com/ml-tooling/best-of-ml-python
automl chatgpt data-analysis data-science data-visualization data-visualizations deep-learning gpt gpt-3 jax keras machine-learning ml nlp python pytorch scikit-learn tensorflow transformer
Last synced: about 1 month ago
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🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
- Host: GitHub
- URL: https://github.com/ml-tooling/best-of-ml-python
- Owner: ml-tooling
- License: cc-by-sa-4.0
- Created: 2020-11-29T19:41:36.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-07-22T15:36:22.000Z (about 2 months ago)
- Last Synced: 2024-07-22T18:54:32.107Z (about 2 months ago)
- Topics: automl, chatgpt, data-analysis, data-science, data-visualization, data-visualizations, deep-learning, gpt, gpt-3, jax, keras, machine-learning, ml, nlp, python, pytorch, scikit-learn, tensorflow, transformer
- Homepage: https://ml-python.best-of.org
- Size: 16.2 MB
- Stars: 16,085
- Watchers: 405
- Forks: 2,327
- Open Issues: 25
-
Metadata Files:
- Readme: README.md
- Changelog: history/2020-11-30_projects.csv
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
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README
Best-of Machine Learning with Python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
This curated list contains 920 awesome open-source projects with a total of 4.5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!
---
🧙♂️ Discover other best-of lists or create your own.
📫 Subscribe to our newsletter for updates and trending projects.
---
## Contents
- [Machine Learning Frameworks](#machine-learning-frameworks) _62 projects_
- [Data Visualization](#data-visualization) _54 projects_
- [Text Data & NLP](#text-data--nlp) _102 projects_
- [Image Data](#image-data) _64 projects_
- [Graph Data](#graph-data) _36 projects_
- [Audio Data](#audio-data) _29 projects_
- [Geospatial Data](#geospatial-data) _22 projects_
- [Financial Data](#financial-data) _25 projects_
- [Time Series Data](#time-series-data) _30 projects_
- [Medical Data](#medical-data) _19 projects_
- [Tabular Data](#tabular-data) _5 projects_
- [Optical Character Recognition](#optical-character-recognition) _12 projects_
- [Data Containers & Structures](#data-containers--structures) _1 projects_
- [Data Loading & Extraction](#data-loading--extraction) _1 projects_
- [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_
- [Data Pipelines & Streaming](#data-pipelines--streaming) _1 projects_
- [Distributed Machine Learning](#distributed-machine-learning) _36 projects_
- [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _52 projects_
- [Reinforcement Learning](#reinforcement-learning) _23 projects_
- [Recommender Systems](#recommender-systems) _17 projects_
- [Privacy Machine Learning](#privacy-machine-learning) _7 projects_
- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _40 projects_
- [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_
- [Model Interpretability](#model-interpretability) _54 projects_
- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _13 projects_
- [Probabilistics & Statistics](#probabilistics--statistics) _23 projects_
- [Adversarial Robustness](#adversarial-robustness) _9 projects_
- [GPU & Accelerator Utilities](#gpu--accelerator-utilities) _20 projects_
- [Tensorflow Utilities](#tensorflow-utilities) _16 projects_
- [Jax Utilities](#jax-utilities) _3 projects_
- [Sklearn Utilities](#sklearn-utilities) _19 projects_
- [Pytorch Utilities](#pytorch-utilities) _32 projects_
- [Database Clients](#database-clients) _1 projects_
- [Others](#others) _66 projects_
## Explanation
- 🥇🥈🥉 Combined project-quality score
- ⭐️ Star count from GitHub
- 🐣 New project _(less than 6 months old)_
- 💤 Inactive project _(6 months no activity)_
- 💀 Dead project _(12 months no activity)_
- 📈📉 Project is trending up or down
- ➕ Project was recently added
- ❗️ Warning _(e.g. missing/risky license)_
- 👨💻 Contributors count from GitHub
- 🔀 Fork count from GitHub
- 📋 Issue count from GitHub
- ⏱️ Last update timestamp on package manager
- 📥 Download count from package manager
- 📦 Number of dependent projects
- 
Tensorflow related project
- 
Sklearn related project
- 
PyTorch related project
- 
MxNet related project
- 
Apache Spark related project
- 
Jupyter related project
- 
PaddlePaddle related project
- 
Pandas related project
- 
Jax related project
## Machine Learning Frameworks
_General-purpose machine learning and deep learning frameworks._
Tensorflow (🥇56 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2
- [GitHub](https://github.com/tensorflow/tensorflow) (👨💻 4.6K · 🔀 74K · 📦 380K · 📋 40K - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/tensorflow/tensorflow
```
- [PyPi](https://pypi.org/project/tensorflow) (📥 21M / month · 📦 7.4K · ⏱️ 09.03.2024):
```
pip install tensorflow
```
- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 4.7M · ⏱️ 24.05.2024):
```
conda install -c conda-forge tensorflow
```
- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 77M · ⭐ 2.4K · ⏱️ 06.06.2024):
```
docker pull tensorflow/tensorflow
```
PyTorch (🥇55 · ⭐ 79K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
- [GitHub](https://github.com/pytorch/pytorch) (👨💻 4.9K · 🔀 21K · 📥 43K · 📦 460K · 📋 44K - 32% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/pytorch
```
- [PyPi](https://pypi.org/project/torch) (📥 29M / month · 📦 17K · ⏱️ 05.06.2024):
```
pip install torch
```
- [Conda](https://anaconda.org/pytorch/pytorch) (📥 22M · ⏱️ 04.06.2024):
```
conda install -c pytorch pytorch
```
scikit-learn (🥇52 · ⭐ 59K) - scikit-learn: machine learning in Python. BSD-3
- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨💻 3.1K · 🔀 25K · 📥 960 · 📦 790K · 📋 11K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/scikit-learn/scikit-learn
```
- [PyPi](https://pypi.org/project/scikit-learn) (📥 68M / month · 📦 22K · ⏱️ 21.05.2024):
```
pip install scikit-learn
```
- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 29M · ⏱️ 23.05.2024):
```
conda install -c conda-forge scikit-learn
```
Keras (🥇48 · ⭐ 61K) - Deep Learning for humans. Apache-2
- [GitHub](https://github.com/keras-team/keras) (👨💻 1.3K · 🔀 19K · 📋 12K - 1% open · ⏱️ 05.06.2024):
```
git clone https://github.com/keras-team/keras
```
- [PyPi](https://pypi.org/project/keras) (📥 17M / month · 📦 1.4K · ⏱️ 22.04.2024):
```
pip install keras
```
- [Conda](https://anaconda.org/conda-forge/keras) (📥 3.5M · ⏱️ 27.04.2024):
```
conda install -c conda-forge keras
```
PySpark (🥇45 · ⭐ 39K) - Apache Spark Python API. Apache-2
- [GitHub](https://github.com/apache/spark) (👨💻 3.1K · 🔀 28K · ⏱️ 06.06.2024):
```
git clone https://github.com/apache/spark
```
- [PyPi](https://pypi.org/project/pyspark) (📥 29M / month · 📦 1.4K · ⏱️ 03.06.2024):
```
pip install pyspark
```
- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 3.2M · ⏱️ 03.03.2024):
```
conda install -c conda-forge pyspark
```
jax (🥇45 · ⭐ 29K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
- [GitHub](https://github.com/google/jax) (👨💻 700 · 🔀 2.6K · 📦 26K · 📋 5.5K - 29% open · ⏱️ 06.06.2024):
```
git clone https://github.com/google/jax
```
- [PyPi](https://pypi.org/project/jax) (📥 5.9M / month · 📦 1.5K · ⏱️ 09.05.2024):
```
pip install jax
```
- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 1.3M · ⏱️ 22.05.2024):
```
conda install -c conda-forge jaxlib
```
PaddlePaddle (🥇45 · ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨💻 1.2K · 🔀 5.4K · 📥 15K · 📦 5.2K · 📋 19K - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/PaddlePaddle/Paddle
```
- [PyPi](https://pypi.org/project/paddlepaddle) (📥 210K / month · 📦 110 · ⏱️ 19.03.2024):
```
pip install paddlepaddle
```
StatsModels (🥇45 · ⭐ 9.7K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
- [GitHub](https://github.com/statsmodels/statsmodels) (👨💻 430 · 🔀 2.8K · 📥 31 · 📦 130K · 📋 5.5K - 50% open · ⏱️ 01.06.2024):
```
git clone https://github.com/statsmodels/statsmodels
```
- [PyPi](https://pypi.org/project/statsmodels) (📥 17M / month · 📦 4K · ⏱️ 17.04.2024):
```
pip install statsmodels
```
- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 13M · ⏱️ 17.05.2024):
```
conda install -c conda-forge statsmodels
```
pytorch-lightning (🥈44 · ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2
- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨💻 950 · 🔀 3.3K · 📥 7.6K · 📦 33K · 📋 6.9K - 10% open · ⏱️ 06.06.2024):
```
git clone https://github.com/Lightning-AI/lightning
```
- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 5.4M / month · 📦 1.4K · ⏱️ 22.05.2024):
```
pip install pytorch-lightning
```
- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.2M · ⏱️ 12.04.2024):
```
conda install -c conda-forge pytorch-lightning
```
XGBoost (🥈44 · ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
- [GitHub](https://github.com/dmlc/xgboost) (👨💻 640 · 🔀 8.7K · 📥 8.6K · 📦 94K · 📋 5.2K - 8% open · ⏱️ 05.06.2024):
```
git clone https://github.com/dmlc/xgboost
```
- [PyPi](https://pypi.org/project/xgboost) (📥 20M / month · 📦 1.8K · ⏱️ 31.05.2024):
```
pip install xgboost
```
- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 4.9M · ⏱️ 18.04.2024):
```
conda install -c conda-forge xgboost
```
LightGBM (🥈43 · ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
- [GitHub](https://github.com/microsoft/LightGBM) (👨💻 300 · 🔀 3.8K · 📥 220K · 📦 34K · 📋 3.4K - 11% open · ⏱️ 05.06.2024):
```
git clone https://github.com/microsoft/LightGBM
```
- [PyPi](https://pypi.org/project/lightgbm) (📥 7.6M / month · 📦 1K · ⏱️ 26.01.2024):
```
pip install lightgbm
```
- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 2.3M · ⏱️ 26.01.2024):
```
conda install -c conda-forge lightgbm
```
Catboost (🥈41 · ⭐ 7.8K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
- [GitHub](https://github.com/catboost/catboost) (👨💻 1.2K · 🔀 1.1K · 📥 260K · 📦 14 · 📋 2.3K - 22% open · ⏱️ 06.06.2024):
```
git clone https://github.com/catboost/catboost
```
- [PyPi](https://pypi.org/project/catboost) (📥 2.2M / month · 📦 390 · ⏱️ 18.04.2024):
```
pip install catboost
```
- [Conda](https://anaconda.org/conda-forge/catboost) (📥 1.5M · ⏱️ 18.04.2024):
```
conda install -c conda-forge catboost
```
Fastai (🥈40 · ⭐ 26K) - The fastai deep learning library. Apache-2
- [GitHub](https://github.com/fastai/fastai) (👨💻 670 · 🔀 7.5K · 📦 17K · 📋 1.8K - 11% open · ⏱️ 25.05.2024):
```
git clone https://github.com/fastai/fastai
```
- [PyPi](https://pypi.org/project/fastai) (📥 370K / month · 📦 290 · ⏱️ 27.04.2024):
```
pip install fastai
```
Jina (🥈39 · ⭐ 20K) - Build multimodal AI applications with cloud-native stack. Apache-2
- [GitHub](https://github.com/jina-ai/jina) (👨💻 180 · 🔀 2.2K · 📦 1.7K · 📋 2K - 1% open · ⏱️ 16.05.2024):
```
git clone https://github.com/jina-ai/jina
```
- [PyPi](https://pypi.org/project/jina) (📥 40K / month · 📦 27 · ⏱️ 10.04.2024):
```
pip install jina
```
- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 65K · ⏱️ 16.06.2023):
```
conda install -c conda-forge jina-core
```
- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.3M · ⭐ 8 · ⏱️ 16.05.2024):
```
docker pull jinaai/jina
```
Flax (🥈39 · ⭐ 5.7K) - Flax is a neural network library for JAX that is designed for.. Apache-2
- [GitHub](https://github.com/google/flax) (👨💻 220 · 🔀 600 · 📥 51 · 📦 7.7K · 📋 930 - 24% open · ⏱️ 06.06.2024):
```
git clone https://github.com/google/flax
```
- [PyPi](https://pypi.org/project/flax) (📥 3.4M / month · 📦 400 · ⏱️ 24.05.2024):
```
pip install flax
```
- [Conda](https://anaconda.org/conda-forge/flax) (📥 52K · ⏱️ 30.04.2024):
```
conda install -c conda-forge flax
```
PyFlink (🥈38 · ⭐ 23K) - Apache Flink Python API. Apache-2
- [GitHub](https://github.com/apache/flink) (👨💻 1.9K · 🔀 13K · 📦 21 · ⏱️ 06.06.2024):
```
git clone https://github.com/apache/flink
```
- [PyPi](https://pypi.org/project/apache-flink) (📥 80K / month · 📦 24 · ⏱️ 15.03.2024):
```
pip install apache-flink
```
Theano (🥈37 · ⭐ 9.9K) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
- [GitHub](https://github.com/Theano/Theano) (👨💻 390 · 🔀 2.5K · 📦 15K · 📋 2.8K - 24% open · ⏱️ 15.01.2024):
```
git clone https://github.com/Theano/Theano
```
- [PyPi](https://pypi.org/project/theano) (📥 300K / month · 📦 170 · ⏱️ 27.07.2020):
```
pip install theano
```
- [Conda](https://anaconda.org/conda-forge/theano) (📥 2.4M · ⏱️ 16.06.2023):
```
conda install -c conda-forge theano
```
ivy (🥈36 · ⭐ 14K · 📈) - The Unified AI Framework. Apache-2
- [GitHub](https://github.com/Transpile-AI/ivy) (👨💻 1.5K · 🔀 5.8K · 📋 17K - 5% open · ⏱️ 06.06.2024):
```
git clone https://github.com/unifyai/ivy
```
- [PyPi](https://pypi.org/project/ivy) (📥 1.5K / month · 📦 12 · ⏱️ 05.06.2024):
```
pip install ivy
```
Thinc (🥈36 · ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
- [GitHub](https://github.com/explosion/thinc) (👨💻 63 · 🔀 280 · 📦 48K · 📋 140 - 13% open · ⏱️ 03.06.2024):
```
git clone https://github.com/explosion/thinc
```
- [PyPi](https://pypi.org/project/thinc) (📥 9.9M / month · 📦 120 · ⏱️ 04.06.2024):
```
pip install thinc
```
- [Conda](https://anaconda.org/conda-forge/thinc) (📥 2.8M · ⏱️ 11.05.2024):
```
conda install -c conda-forge thinc
```
Ludwig (🥈34 · ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
- [GitHub](https://github.com/ludwig-ai/ludwig) (👨💻 160 · 🔀 1.2K · 📦 260 · 📋 1.1K - 32% open · ⏱️ 01.06.2024):
```
git clone https://github.com/ludwig-ai/ludwig
```
- [PyPi](https://pypi.org/project/ludwig) (📥 4.7K / month · 📦 6 · ⏱️ 08.04.2024):
```
pip install ludwig
```
Vowpal Wabbit (🥈34 · ⭐ 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨💻 340 · 🔀 1.9K · 📋 1.3K - 10% open · ⏱️ 23.05.2024):
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 62K / month · 📦 40 · ⏱️ 19.07.2023):
```
pip install vowpalwabbit
```
- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 160K · ⏱️ 26.04.2024):
```
conda install -c conda-forge vowpalwabbit
```
einops (🥈34 · ⭐ 8K) - Flexible and powerful tensor operations for readable and reliable code (for.. MIT
- [GitHub](https://github.com/arogozhnikov/einops) (👨💻 27 · 🔀 340 · 📦 36K · 📋 170 - 19% open · ⏱️ 26.05.2024):
```
git clone https://github.com/arogozhnikov/einops
```
- [PyPi](https://pypi.org/project/einops) (📥 7.3M / month · 📦 1.7K · ⏱️ 28.04.2024):
```
pip install einops
```
- [Conda](https://anaconda.org/conda-forge/einops) (📥 220K · ⏱️ 28.04.2024):
```
conda install -c conda-forge einops
```
Ignite (🥈34 · ⭐ 4.5K) - High-level library to help with training and evaluating neural.. BSD-3
- [GitHub](https://github.com/pytorch/ignite) (👨💻 530 · 🔀 600 · 📦 2.9K · 📋 1.4K - 10% open · ⏱️ 04.06.2024):
```
git clone https://github.com/pytorch/ignite
```
- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 260K / month · 📦 84 · ⏱️ 06.06.2024):
```
pip install pytorch-ignite
```
- [Conda](https://anaconda.org/pytorch/ignite) (📥 180K · ⏱️ 01.04.2024):
```
conda install -c pytorch ignite
```
mlpack (🥉33 · ⭐ 4.9K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
- [GitHub](https://github.com/mlpack/mlpack) (👨💻 320 · 🔀 1.6K · 📋 1.6K - 1% open · ⏱️ 03.06.2024):
```
git clone https://github.com/mlpack/mlpack
```
- [PyPi](https://pypi.org/project/mlpack) (📥 2.3K / month · 📦 2 · ⏱️ 28.05.2024):
```
pip install mlpack
```
- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 190K · ⏱️ 29.05.2024):
```
conda install -c conda-forge mlpack
```
Sonnet (🥉32 · ⭐ 9.7K) - TensorFlow-based neural network library. Apache-2
- [GitHub](https://github.com/google-deepmind/sonnet) (👨💻 59 · 🔀 1.3K · 📦 1.3K · 📋 190 - 16% open · ⏱️ 08.04.2024):
```
git clone https://github.com/deepmind/sonnet
```
- [PyPi](https://pypi.org/project/dm-sonnet) (📥 18K / month · 📦 18 · ⏱️ 02.01.2024):
```
pip install dm-sonnet
```
- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 29K · ⏱️ 16.06.2023):
```
conda install -c conda-forge sonnet
```
tensorpack (🥉32 · ⭐ 6.3K · 💤) - A Neural Net Training Interface on TensorFlow, with.. Apache-2
- [GitHub](https://github.com/tensorpack/tensorpack) (👨💻 58 · 🔀 1.8K · 📥 170 · 📦 1.6K · 📋 1.4K - 0% open · ⏱️ 06.08.2023):
```
git clone https://github.com/tensorpack/tensorpack
```
- [PyPi](https://pypi.org/project/tensorpack) (📥 14K / month · 📦 18 · ⏱️ 22.01.2021):
```
pip install tensorpack
```
- [Conda](https://anaconda.org/conda-forge/tensorpack) (📥 11K · ⏱️ 16.06.2023):
```
conda install -c conda-forge tensorpack
```
skorch (🥉31 · ⭐ 5.7K) - A scikit-learn compatible neural network library that wraps.. BSD-3
- [GitHub](https://github.com/skorch-dev/skorch) (👨💻 62 · 🔀 380 · 📦 1.3K · 📋 520 - 11% open · ⏱️ 30.05.2024):
```
git clone https://github.com/skorch-dev/skorch
```
- [PyPi](https://pypi.org/project/skorch) (📥 170K / month · 📦 80 · ⏱️ 27.05.2024):
```
pip install skorch
```
- [Conda](https://anaconda.org/conda-forge/skorch) (📥 780K · ⏱️ 30.05.2024):
```
conda install -c conda-forge skorch
```
dyNET (🥉31 · ⭐ 3.4K · 💤) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
- [GitHub](https://github.com/clab/dynet) (👨💻 160 · 🔀 700 · 📥 16K · 📦 260 · 📋 940 - 29% open · ⏱️ 08.11.2023):
```
git clone https://github.com/clab/dynet
```
- [PyPi](https://pypi.org/project/dyNET) (📥 290K / month · 📦 18 · ⏱️ 21.10.2020):
```
pip install dyNET
```
Haiku (🥉31 · ⭐ 2.8K) - JAX-based neural network library. Apache-2
- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨💻 81 · 🔀 230 · 📦 1.9K · 📋 250 - 28% open · ⏱️ 22.05.2024):
```
git clone https://github.com/deepmind/dm-haiku
```
- [PyPi](https://pypi.org/project/dm-haiku) (📥 290K / month · 📦 160 · ⏱️ 28.02.2024):
```
pip install dm-haiku
```
- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 17K · ⏱️ 28.02.2024):
```
conda install -c conda-forge dm-haiku
```
tensorflow-upstream (🥉31 · ⭐ 680) - TensorFlow ROCm port. Apache-2
- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨💻 4.6K · 🔀 91 · 📥 21 · 📋 370 - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 4.1K / month · 📦 6 · ⏱️ 10.01.2024):
```
pip install tensorflow-rocm
```
Determined (🥉30 · ⭐ 2.9K) - Determined is an open-source machine learning platform.. Apache-2
- [GitHub](https://github.com/determined-ai/determined) (👨💻 120 · 🔀 340 · 📥 8.1K · 📋 460 - 26% open · ⏱️ 06.06.2024):
```
git clone https://github.com/determined-ai/determined
```
- [PyPi](https://pypi.org/project/determined) (📥 47K / month · 📦 4 · ⏱️ 29.05.2024):
```
pip install determined
```
ktrain (🥉30 · ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
- [GitHub](https://github.com/amaiya/ktrain) (👨💻 16 · 🔀 270 · 📦 520 · 📋 490 - 0% open · ⏱️ 05.04.2024):
```
git clone https://github.com/amaiya/ktrain
```
- [PyPi](https://pypi.org/project/ktrain) (📥 10K / month · 📦 3 · ⏱️ 05.04.2024):
```
pip install ktrain
```
Geomstats (🥉30 · ⭐ 1.2K) - Computations and statistics on manifolds with geometric structures. MIT
- [GitHub](https://github.com/geomstats/geomstats) (👨💻 92 · 🔀 230 · 📦 110 · 📋 560 - 37% open · ⏱️ 21.05.2024):
```
git clone https://github.com/geomstats/geomstats
```
- [PyPi](https://pypi.org/project/geomstats) (📥 3.4K / month · 📦 3 · ⏱️ 30.08.2023):
```
pip install geomstats
```
- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 2.6K · ⏱️ 30.08.2023):
```
conda install -c conda-forge geomstats
```
Neural Network Libraries (🥉29 · ⭐ 2.7K) - Neural Network Libraries. Apache-2
- [GitHub](https://github.com/sony/nnabla) (👨💻 76 · 🔀 330 · 📥 920 · 📋 95 - 36% open · ⏱️ 06.06.2024):
```
git clone https://github.com/sony/nnabla
```
- [PyPi](https://pypi.org/project/nnabla) (📥 4.2K / month · 📦 44 · ⏱️ 29.05.2024):
```
pip install nnabla
```
EvaDB (🥉28 · ⭐ 2.6K) - Database system for AI-powered apps. Apache-2
- [GitHub](https://github.com/georgia-tech-db/evadb) (👨💻 73 · 🔀 250 · 📥 410K · 📦 140 · 📋 300 - 25% open · ⏱️ 03.12.2023):
```
git clone https://github.com/georgia-tech-db/eva
```
- [PyPi](https://pypi.org/project/evadb) (📥 460 / month · ⏱️ 19.11.2023):
```
pip install evadb
```
pyRiemann (🥉27 · ⭐ 600) - Machine learning for multivariate data through the Riemannian.. BSD-3
- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨💻 33 · 🔀 160 · 📦 350 · 📋 100 - 3% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pyRiemann/pyRiemann
```
- [PyPi](https://pypi.org/project/pyriemann) (📥 34K / month · 📦 26 · ⏱️ 10.04.2024):
```
pip install pyriemann
```
- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 6K · ⏱️ 10.04.2024):
```
conda install -c conda-forge pyriemann
```
SHOGUN (🥉26 · ⭐ 3K) - Unified and efficient Machine Learning. BSD-3
- [GitHub](https://github.com/shogun-toolbox/shogun) (👨💻 250 · 🔀 1K · 📋 1.5K - 27% open · ⏱️ 19.12.2023):
```
git clone https://github.com/shogun-toolbox/shogun
```
- [Conda](https://anaconda.org/conda-forge/shogun) (📥 130K · ⏱️ 16.06.2023):
```
conda install -c conda-forge shogun
```
- [Docker Hub](https://hub.docker.com/r/shogun/shogun) (📥 1.5K · ⭐ 1 · ⏱️ 31.01.2019):
```
docker pull shogun/shogun
```
Towhee (🥉24 · ⭐ 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
- [GitHub](https://github.com/towhee-io/towhee) (👨💻 35 · 🔀 250 · 📥 2.6K · 📋 660 - 0% open · ⏱️ 20.01.2024):
```
git clone https://github.com/towhee-io/towhee
```
- [PyPi](https://pypi.org/project/towhee) (📥 18K / month · ⏱️ 04.12.2023):
```
pip install towhee
```
Neural Tangents (🥉24 · ⭐ 2.2K · 📉) - Fast and Easy Infinite Neural Networks in Python. Apache-2
- [GitHub](https://github.com/google/neural-tangents) (👨💻 29 · 🔀 240 · 📥 380 · 📦 100 · 📋 160 - 38% open · ⏱️ 01.03.2024):
```
git clone https://github.com/google/neural-tangents
```
- [PyPi](https://pypi.org/project/neural-tangents) (📥 2.3K / month · 📦 1 · ⏱️ 11.12.2023):
```
pip install neural-tangents
```
fklearn (🥉24 · ⭐ 1.5K · 💤) - fklearn: Functional Machine Learning. Apache-2
- [GitHub](https://github.com/nubank/fklearn) (👨💻 55 · 🔀 160 · 📦 13 · 📋 63 - 60% open · ⏱️ 08.11.2023):
```
git clone https://github.com/nubank/fklearn
```
- [PyPi](https://pypi.org/project/fklearn) (📥 1.1K / month · ⏱️ 23.05.2024):
```
pip install fklearn
```
mace (🥉23 · ⭐ 4.9K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
- [GitHub](https://github.com/XiaoMi/mace) (👨💻 69 · 🔀 820 · 📥 1.5K · 📋 680 - 8% open · ⏱️ 11.03.2024):
```
git clone https://github.com/XiaoMi/mace
```
ThunderSVM (🥉22 · ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
- [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨💻 37 · 🔀 210 · 📥 2.8K · 📋 230 - 34% open · ⏱️ 01.04.2024):
```
git clone https://github.com/Xtra-Computing/thundersvm
```
- [PyPi](https://pypi.org/project/thundersvm) (📥 840 / month · ⏱️ 13.03.2020):
```
pip install thundersvm
```
Objax (🥉21 · ⭐ 760) - Objax is a machine learning framework that provides an Object.. Apache-2
- [GitHub](https://github.com/google/objax) (👨💻 26 · 🔀 78 · 📦 54 · 📋 110 - 45% open · ⏱️ 27.01.2024):
```
git clone https://github.com/google/objax
```
- [PyPi](https://pypi.org/project/objax) (📥 630 / month · 📦 4 · ⏱️ 06.11.2023):
```
pip install objax
```
NeoML (🥉21 · ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2
- [GitHub](https://github.com/neoml-lib/neoml) (👨💻 37 · 🔀 120 · 📋 87 - 42% open · ⏱️ 29.05.2024):
```
git clone https://github.com/neoml-lib/neoml
```
- [PyPi](https://pypi.org/project/neoml) (📥 130 / month · ⏱️ 26.12.2023):
```
pip install neoml
```
Torchbearer (🥉21 · ⭐ 630) - torchbearer: A model fitting library for PyTorch. MIT
- [GitHub](https://github.com/pytorchbearer/torchbearer) (👨💻 14 · 🔀 68 · 📦 88 · 📋 250 - 4% open · ⏱️ 04.12.2023):
```
git clone https://github.com/pytorchbearer/torchbearer
```
- [PyPi](https://pypi.org/project/torchbearer) (📥 390 / month · 📦 4 · ⏱️ 01.12.2023):
```
pip install torchbearer
```
chefboost (🥉20 · ⭐ 440) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
- [GitHub](https://github.com/serengil/chefboost) (👨💻 7 · 🔀 100 · 📦 53 · 📋 49 - 14% open · ⏱️ 26.12.2023):
```
git clone https://github.com/serengil/chefboost
```
- [PyPi](https://pypi.org/project/chefboost) (📥 2.6K / month · ⏱️ 16.02.2022):
```
pip install chefboost
```
ThunderGBM (🥉17 · ⭐ 690) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨💻 12 · 🔀 87 · 📦 2 · 📋 81 - 48% open · ⏱️ 29.01.2024):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
- [PyPi](https://pypi.org/project/thundergbm) (📥 220 / month · ⏱️ 19.09.2022):
```
pip install thundergbm
```
Show 15 hidden projects...
- dlib (🥈41 · ⭐ 13K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0
- MXNet (🥈38 · ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2
- MindsDB (🥈34 · ⭐ 22K) - The platform for customizing AI from enterprise data. ❗️libpng-2.0
- Chainer (🥉33 · ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. MIT
- Turi Create (🥉32 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. BSD-3
- TFlearn (🥉32 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT
- CNTK (🥉30 · ⭐ 17K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
- Lasagne (🥉28 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT
- NuPIC (🥉27 · ⭐ 6.3K · 💤) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0
- xLearn (🥉24 · ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
- NeuPy (🥉24 · ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
- neon (🥉22 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2
- elegy (🥉19 · ⭐ 470 · 💀) - A High Level API for Deep Learning in JAX. MIT
- StarSpace (🥉16 · ⭐ 3.9K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT
- nanodl (🥉16 · ⭐ 260) - A Jax-based library for designing and training transformer models from.. MIT
## Data Visualization
_General-purpose and task-specific data visualization libraries._
Matplotlib (🥇48 · ⭐ 20K) - matplotlib: plotting with Python. ❗Unlicensed
- [GitHub](https://github.com/matplotlib/matplotlib) (👨💻 1.7K · 🔀 7.4K · 📦 1.2M · 📋 11K - 14% open · ⏱️ 05.06.2024):
```
git clone https://github.com/matplotlib/matplotlib
```
- [PyPi](https://pypi.org/project/matplotlib) (📥 66M / month · 📦 45K · ⏱️ 15.05.2024):
```
pip install matplotlib
```
- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 24M · ⏱️ 17.05.2024):
```
conda install -c conda-forge matplotlib
```
Bokeh (🥇45 · ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3
- [GitHub](https://github.com/bokeh/bokeh) (👨💻 690 · 🔀 4.2K · 📦 89K · 📋 7.7K - 10% open · ⏱️ 05.06.2024):
```
git clone https://github.com/bokeh/bokeh
```
- [PyPi](https://pypi.org/project/bokeh) (📥 4M / month · 📦 1.6K · ⏱️ 04.06.2024):
```
pip install bokeh
```
- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 14M · ⏱️ 12.04.2024):
```
conda install -c conda-forge bokeh
```
Plotly (🥇44 · ⭐ 15K) - The interactive graphing library for Python This project now includes.. MIT
- [GitHub](https://github.com/plotly/plotly.py) (👨💻 260 · 🔀 2.5K · 📦 270K · 📋 2.9K - 51% open · ⏱️ 03.06.2024):
```
git clone https://github.com/plotly/plotly.py
```
- [PyPi](https://pypi.org/project/plotly) (📥 16M / month · 📦 5.6K · ⏱️ 01.05.2024):
```
pip install plotly
```
- [Conda](https://anaconda.org/conda-forge/plotly) (📥 6M · ⏱️ 04.05.2024):
```
conda install -c conda-forge plotly
```
- [npm](https://www.npmjs.com/package/plotlywidget) (📥 14K / month · 📦 9 · ⏱️ 12.01.2021):
```
npm install plotlywidget
```
Seaborn (🥇43 · ⭐ 12K) - Statistical data visualization in Python. BSD-3
- [GitHub](https://github.com/mwaskom/seaborn) (👨💻 210 · 🔀 1.9K · 📥 390 · 📦 420K · 📋 2.5K - 5% open · ⏱️ 25.04.2024):
```
git clone https://github.com/mwaskom/seaborn
```
- [PyPi](https://pypi.org/project/seaborn) (📥 17M / month · 📦 9.7K · ⏱️ 25.01.2024):
```
pip install seaborn
```
- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 8.9M · ⏱️ 30.04.2024):
```
conda install -c conda-forge seaborn
```
dash (🥇41 · ⭐ 21K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
- [GitHub](https://github.com/plotly/dash) (👨💻 160 · 🔀 2K · 📥 72 · 📦 64K · 📋 1.8K - 46% open · ⏱️ 03.06.2024):
```
git clone https://github.com/plotly/dash
```
- [PyPi](https://pypi.org/project/dash) (📥 2.9M / month · 📦 1.2K · ⏱️ 03.05.2024):
```
pip install dash
```
- [Conda](https://anaconda.org/conda-forge/dash) (📥 1.3M · ⏱️ 04.05.2024):
```
conda install -c conda-forge dash
```
Altair (🥇41 · ⭐ 9K) - Declarative statistical visualization library for Python. BSD-3
- [GitHub](https://github.com/vega/altair) (👨💻 160 · 🔀 760 · 📥 120 · 📦 140K · 📋 2K - 8% open · ⏱️ 23.05.2024):
```
git clone https://github.com/altair-viz/altair
```
- [PyPi](https://pypi.org/project/altair) (📥 24M / month · 📦 770 · ⏱️ 30.03.2024):
```
pip install altair
```
- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.3M · ⏱️ 30.03.2024):
```
conda install -c conda-forge altair
```
pandas-profiling (🥈38 · ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT
- [GitHub](https://github.com/ydataai/ydata-profiling) (👨💻 120 · 🔀 1.6K · 📥 100 · 📦 3.3K · 📋 780 - 28% open · ⏱️ 31.05.2024):
```
git clone https://github.com/ydataai/pandas-profiling
```
- [PyPi](https://pypi.org/project/pandas-profiling) (📥 820K / month · 📦 180 · ⏱️ 03.02.2023):
```
pip install pandas-profiling
```
- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 430K · ⏱️ 16.06.2023):
```
conda install -c conda-forge pandas-profiling
```
HoloViews (🥈38 · ⭐ 2.6K) - With Holoviews, your data visualizes itself. BSD-3
- [GitHub](https://github.com/holoviz/holoviews) (👨💻 140 · 🔀 390 · 📦 11K · 📋 3.3K - 33% open · ⏱️ 06.06.2024):
```
git clone https://github.com/holoviz/holoviews
```
- [PyPi](https://pypi.org/project/holoviews) (📥 490K / month · 📦 360 · ⏱️ 23.05.2024):
```
pip install holoviews
```
- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 1.6M · ⏱️ 12.02.2024):
```
conda install -c conda-forge holoviews
```
- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 200 / month · 📦 5 · ⏱️ 22.03.2024):
```
npm install @pyviz/jupyterlab_pyviz
```
plotnine (🥈37 · ⭐ 3.9K · 📈) - A Grammar of Graphics for Python. MIT
- [GitHub](https://github.com/has2k1/plotnine) (👨💻 110 · 🔀 200 · 📦 7.8K · 📋 640 - 11% open · ⏱️ 30.05.2024):
```
git clone https://github.com/has2k1/plotnine
```
- [PyPi](https://pypi.org/project/plotnine) (📥 3.3M / month · 📦 260 · ⏱️ 09.05.2024):
```
pip install plotnine
```
- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 370K · ⏱️ 10.05.2024):
```
conda install -c conda-forge plotnine
```
PyQtGraph (🥈37 · ⭐ 3.7K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨💻 280 · 🔀 1.1K · 📦 9.6K · 📋 1.3K - 30% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
- [PyPi](https://pypi.org/project/pyqtgraph) (📥 230K / month · 📦 940 · ⏱️ 29.04.2024):
```
pip install pyqtgraph
```
- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 540K · ⏱️ 02.05.2024):
```
conda install -c conda-forge pyqtgraph
```
Graphviz (🥈37 · ⭐ 1.6K) - Simple Python interface for Graphviz. MIT
- [GitHub](https://github.com/xflr6/graphviz) (👨💻 23 · 🔀 210 · 📦 67K · 📋 180 - 7% open · ⏱️ 13.05.2024):
```
git clone https://github.com/xflr6/graphviz
```
- [PyPi](https://pypi.org/project/graphviz) (📥 12M / month · 📦 2.4K · ⏱️ 21.03.2024):
```
pip install graphviz
```
- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 46K · ⏱️ 08.04.2024):
```
conda install -c anaconda python-graphviz
```
pyecharts (🥈36 · ⭐ 15K) - Python Echarts Plotting Library. MIT
- [GitHub](https://github.com/pyecharts/pyecharts) (👨💻 43 · 🔀 2.8K · 📥 58 · 📦 4.2K · 📋 1.9K - 0% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pyecharts/pyecharts
```
- [PyPi](https://pypi.org/project/pyecharts) (📥 210K / month · 📦 190 · ⏱️ 03.03.2024):
```
pip install pyecharts
```
PyVista (🥈36 · ⭐ 2.4K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
- [GitHub](https://github.com/pyvista/pyvista) (👨💻 160 · 🔀 440 · 📥 800 · 📦 3K · 📋 1.6K - 34% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pyvista/pyvista
```
- [PyPi](https://pypi.org/project/pyvista) (📥 280K / month · 📦 490 · ⏱️ 06.06.2024):
```
pip install pyvista
```
- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 490K · ⏱️ 06.06.2024):
```
conda install -c conda-forge pyvista
```
FiftyOne (🥈35 · ⭐ 6.9K) - Visualize, create, and debug image and video datasets.. Apache-2
- [GitHub](https://github.com/voxel51/fiftyone) (👨💻 120 · 🔀 510 · 📦 590 · 📋 1.5K - 32% open · ⏱️ 06.06.2024):
```
git clone https://github.com/voxel51/fiftyone
```
- [PyPi](https://pypi.org/project/fiftyone) (📥 51K / month · 📦 18 · ⏱️ 29.05.2024):
```
pip install fiftyone
```
VisPy (🥈35 · ⭐ 3.2K) - High-performance interactive 2D/3D data visualization library. BSD-3
- [GitHub](https://github.com/vispy/vispy) (👨💻 200 · 🔀 620 · 📦 1.5K · 📋 1.5K - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/vispy/vispy
```
- [PyPi](https://pypi.org/project/vispy) (📥 90K / month · 📦 150 · ⏱️ 14.03.2024):
```
pip install vispy
```
- [Conda](https://anaconda.org/conda-forge/vispy) (📥 500K · ⏱️ 17.05.2024):
```
conda install -c conda-forge vispy
```
- [npm](https://www.npmjs.com/package/vispy) (📥 13 / month · 📦 3 · ⏱️ 15.03.2020):
```
npm install vispy
```
cartopy (🥈35 · ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
- [GitHub](https://github.com/SciTools/cartopy) (👨💻 130 · 🔀 360 · 📦 5K · 📋 1.3K - 24% open · ⏱️ 21.05.2024):
```
git clone https://github.com/SciTools/cartopy
```
- [PyPi](https://pypi.org/project/cartopy) (📥 220K / month · 📦 590 · ⏱️ 10.04.2024):
```
pip install cartopy
```
- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 3.6M · ⏱️ 16.05.2024):
```
conda install -c conda-forge cartopy
```
datashader (🥈34 · ⭐ 3.2K) - Quickly and accurately render even the largest data. BSD-3
- [GitHub](https://github.com/holoviz/datashader) (👨💻 55 · 🔀 360 · 📦 4.2K · 📋 580 - 23% open · ⏱️ 31.05.2024):
```
git clone https://github.com/holoviz/datashader
```
- [PyPi](https://pypi.org/project/datashader) (📥 120K / month · 📦 180 · ⏱️ 31.05.2024):
```
pip install datashader
```
- [Conda](https://anaconda.org/conda-forge/datashader) (📥 910K · ⏱️ 31.05.2024):
```
conda install -c conda-forge datashader
```
UMAP (🥈33 · ⭐ 7.1K) - Uniform Manifold Approximation and Projection. BSD-3
- [GitHub](https://github.com/lmcinnes/umap) (👨💻 130 · 🔀 760 · 📦 1 · 📋 790 - 57% open · ⏱️ 25.04.2024):
```
git clone https://github.com/lmcinnes/umap
```
- [PyPi](https://pypi.org/project/umap-learn) (📥 1.4M / month · 📦 830 · ⏱️ 03.04.2024):
```
pip install umap-learn
```
- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 2.4M · ⏱️ 04.02.2024):
```
conda install -c conda-forge umap-learn
```
wordcloud (🥈32 · ⭐ 10K · 📉) - A little word cloud generator in Python. MIT
- [GitHub](https://github.com/amueller/word_cloud) (👨💻 72 · 🔀 2.3K · 📦 21 · 📋 540 - 22% open · ⏱️ 09.12.2023):
```
git clone https://github.com/amueller/word_cloud
```
- [PyPi](https://pypi.org/project/wordcloud) (📥 2M / month · 📦 500 · ⏱️ 09.12.2023):
```
pip install wordcloud
```
- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 490K · ⏱️ 19.03.2024):
```
conda install -c conda-forge wordcloud
```
Perspective (🥈31 · ⭐ 7.7K) - A data visualization and analytics component, especially.. Apache-2
- [GitHub](https://github.com/finos/perspective) (👨💻 93 · 🔀 1K · 📥 2.9K · 📦 120 · 📋 760 - 13% open · ⏱️ 29.05.2024):
```
git clone https://github.com/finos/perspective
```
- [PyPi](https://pypi.org/project/perspective-python) (📥 5.9K / month · 📦 22 · ⏱️ 23.05.2024):
```
pip install perspective-python
```
- [Conda](https://anaconda.org/conda-forge/perspective) (📥 650K · ⏱️ 23.05.2024):
```
conda install -c conda-forge perspective
```
- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 3.8K / month · 📦 6 · ⏱️ 23.05.2024):
```
npm install @finos/perspective-jupyterlab
```
lets-plot (🥈31 · ⭐ 1.5K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
- [GitHub](https://github.com/JetBrains/lets-plot) (👨💻 20 · 🔀 47 · 📥 720 · 📦 79 · 📋 560 - 24% open · ⏱️ 06.06.2024):
```
git clone https://github.com/JetBrains/lets-plot
```
- [PyPi](https://pypi.org/project/lets-plot) (📥 19K / month · 📦 13 · ⏱️ 29.05.2024):
```
pip install lets-plot
```
hvPlot (🥈31 · ⭐ 980) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
- [GitHub](https://github.com/holoviz/hvplot) (👨💻 46 · 🔀 99 · 📦 5.1K · 📋 760 - 44% open · ⏱️ 06.05.2024):
```
git clone https://github.com/holoviz/hvplot
```
- [PyPi](https://pypi.org/project/hvplot) (📥 240K / month · 📦 170 · ⏱️ 06.05.2024):
```
pip install hvplot
```
- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 580K · ⏱️ 07.05.2024):
```
conda install -c conda-forge hvplot
```
D-Tale (🥉30 · ⭐ 4.6K) - Visualizer for pandas data structures. ❗️LGPL-2.1
- [GitHub](https://github.com/man-group/dtale) (👨💻 30 · 🔀 380 · 📦 1.1K · 📋 580 - 10% open · ⏱️ 30.04.2024):
```
git clone https://github.com/man-group/dtale
```
- [PyPi](https://pypi.org/project/dtale) (📥 73K / month · 📦 39 · ⏱️ 30.04.2024):
```
pip install dtale
```
- [Conda](https://anaconda.org/conda-forge/dtale) (📥 290K · ⏱️ 30.04.2024):
```
conda install -c conda-forge dtale
```
bqplot (🥉30 · ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2
- [GitHub](https://github.com/bqplot/bqplot) (👨💻 64 · 🔀 460 · 📦 55 · 📋 620 - 41% open · ⏱️ 21.05.2024):
```
git clone https://github.com/bqplot/bqplot
```
- [PyPi](https://pypi.org/project/bqplot) (📥 120K / month · 📦 92 · ⏱️ 25.03.2024):
```
pip install bqplot
```
- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.3M · ⏱️ 19.02.2024):
```
conda install -c conda-forge bqplot
```
- [npm](https://www.npmjs.com/package/bqplot) (📥 3K / month · 📦 21 · ⏱️ 25.03.2024):
```
npm install bqplot
```
mpld3 (🥉30 · ⭐ 2.3K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3
- [GitHub](https://github.com/mpld3/mpld3) (👨💻 52 · 🔀 360 · 📦 6.1K · 📋 360 - 59% open · ⏱️ 23.12.2023):
```
git clone https://github.com/mpld3/mpld3
```
- [PyPi](https://pypi.org/project/mpld3) (📥 530K / month · 📦 130 · ⏱️ 23.12.2023):
```
pip install mpld3
```
- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 200K · ⏱️ 23.12.2023):
```
conda install -c conda-forge mpld3
```
- [npm](https://www.npmjs.com/package/mpld3) (📥 790 / month · 📦 9 · ⏱️ 23.12.2023):
```
npm install mpld3
```
data-validation (🥉30 · ⭐ 750) - Library for exploring and validating machine learning.. Apache-2
- [GitHub](https://github.com/tensorflow/data-validation) (👨💻 26 · 🔀 170 · 📥 650 · 📦 900 · 📋 180 - 20% open · ⏱️ 03.06.2024):
```
git clone https://github.com/tensorflow/data-validation
```
- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 200K / month · 📦 31 · ⏱️ 24.04.2024):
```
pip install tensorflow-data-validation
```
AutoViz (🥉28 · ⭐ 1.7K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
- [GitHub](https://github.com/AutoViML/AutoViz) (👨💻 17 · 🔀 200 · 📦 690 · 📋 92 - 2% open · ⏱️ 29.04.2024):
```
git clone https://github.com/AutoViML/AutoViz
```
- [PyPi](https://pypi.org/project/autoviz) (📥 40K / month · 📦 7 · ⏱️ 29.04.2024):
```
pip install autoviz
```
- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 52K · ⏱️ 26.04.2024):
```
conda install -c conda-forge autoviz
```
Sweetviz (🥉26 · ⭐ 2.8K · 💤) - Visualize and compare datasets, target values and associations, with.. MIT
- [GitHub](https://github.com/fbdesignpro/sweetviz) (👨💻 11 · 🔀 260 · 📦 2.3K · 📋 130 - 27% open · ⏱️ 29.11.2023):
```
git clone https://github.com/fbdesignpro/sweetviz
```
- [PyPi](https://pypi.org/project/sweetviz) (📥 67K / month · 📦 29 · ⏱️ 29.11.2023):
```
pip install sweetviz
```
- [Conda](https://anaconda.org/conda-forge/sweetviz) (📥 30K · ⏱️ 04.12.2023):
```
conda install -c conda-forge sweetviz
```
HyperTools (🥉26 · ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
- [GitHub](https://github.com/ContextLab/hypertools) (👨💻 22 · 🔀 160 · 📥 36 · 📦 420 · 📋 200 - 33% open · ⏱️ 19.03.2024):
```
git clone https://github.com/ContextLab/hypertools
```
- [PyPi](https://pypi.org/project/hypertools) (📥 760 / month · 📦 2 · ⏱️ 12.02.2022):
```
pip install hypertools
```
openTSNE (🥉26 · ⭐ 1.4K) - Extensible, parallel implementations of t-SNE. BSD-3
- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨💻 12 · 🔀 160 · 📦 810 · 📋 130 - 3% open · ⏱️ 23.05.2024):
```
git clone https://github.com/pavlin-policar/openTSNE
```
- [PyPi](https://pypi.org/project/opentsne) (📥 39K / month · 📦 43 · ⏱️ 29.11.2023):
```
pip install opentsne
```
- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 260K · ⏱️ 19.05.2024):
```
conda install -c conda-forge opentsne
```
Plotly-Resampler (🥉26 · ⭐ 970) - Visualize large time series data with plotly.py. MIT
- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨💻 12 · 🔀 63 · 📦 1.1K · 📋 160 - 28% open · ⏱️ 27.03.2024):
```
git clone https://github.com/predict-idlab/plotly-resampler
```
- [PyPi](https://pypi.org/project/plotly-resampler) (📥 400K / month · 📦 22 · ⏱️ 27.03.2024):
```
pip install plotly-resampler
```
- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 43K · ⏱️ 29.03.2024):
```
conda install -c conda-forge plotly-resampler
```
Chartify (🥉25 · ⭐ 3.5K · 💤) - Python library that makes it easy for data scientists to create.. Apache-2
- [GitHub](https://github.com/spotify/chartify) (👨💻 25 · 🔀 310 · 📦 76 · 📋 80 - 60% open · ⏱️ 12.10.2023):
```
git clone https://github.com/spotify/chartify
```
- [PyPi](https://pypi.org/project/chartify) (📥 26K / month · 📦 9 · ⏱️ 12.10.2023):
```
pip install chartify
```
- [Conda](https://anaconda.org/conda-forge/chartify) (📥 31K · ⏱️ 16.06.2023):
```
conda install -c conda-forge chartify
```
HiPlot (🥉24 · ⭐ 2.7K · 💤) - HiPlot makes understanding high dimensional data easy. MIT
- [GitHub](https://github.com/facebookresearch/hiplot) (👨💻 9 · 🔀 140 · 📦 410 · 📋 93 - 21% open · ⏱️ 19.07.2023):
```
git clone https://github.com/facebookresearch/hiplot
```
- [PyPi](https://pypi.org/project/hiplot) (📥 19K / month · 📦 26 · ⏱️ 05.07.2022):
```
pip install hiplot
```
- [Conda](https://anaconda.org/conda-forge/hiplot) (📥 190K · ⏱️ 16.06.2023):
```
conda install -c conda-forge hiplot
```
python-ternary (🥉24 · ⭐ 710) - Ternary plotting library for python with matplotlib. MIT
- [GitHub](https://github.com/marcharper/python-ternary) (👨💻 27 · 🔀 160 · 📥 25 · 📦 170 · 📋 140 - 24% open · ⏱️ 07.03.2024):
```
git clone https://github.com/marcharper/python-ternary
```
- [PyPi](https://pypi.org/project/python-ternary) (📥 35K / month · 📦 30 · ⏱️ 17.02.2021):
```
pip install python-ternary
```
- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 82K · ⏱️ 16.06.2023):
```
conda install -c conda-forge python-ternary
```
Multicore-TSNE (🥉23 · ⭐ 1.9K) - Parallel t-SNE implementation with Python and Torch.. BSD-3
- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (👨💻 18 · 🔀 230 · 📦 450 · 📋 69 - 65% open · ⏱️ 06.02.2024):
```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
- [PyPi](https://pypi.org/project/MulticoreTSNE) (📥 2.6K / month · 📦 22 · ⏱️ 09.01.2019):
```
pip install MulticoreTSNE
```
- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (📥 37K · ⏱️ 11.10.2023):
```
conda install -c conda-forge multicore-tsne
```
vega (🥉21 · ⭐ 370) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
- [GitHub](https://github.com/vega/ipyvega) (👨💻 15 · 🔀 65 · 📦 4 · 📋 110 - 19% open · ⏱️ 01.05.2024):
```
git clone https://github.com/vega/ipyvega
```
- [PyPi](https://pypi.org/project/vega) (📥 21K / month · 📦 14 · ⏱️ 12.04.2023):
```
pip install vega
```
- [Conda](https://anaconda.org/conda-forge/vega) (📥 600K · ⏱️ 18.05.2024):
```
conda install -c conda-forge vega
```
PDPbox (🥉20 · ⭐ 830 · 💤) - python partial dependence plot toolbox. MIT
- [GitHub](https://github.com/SauceCat/PDPbox) (👨💻 7 · 🔀 130 · 📋 67 - 41% open · ⏱️ 05.06.2023):
```
git clone https://github.com/SauceCat/PDPbox
```
- [PyPi](https://pypi.org/project/pdpbox) (📥 21K / month · 📦 26 · ⏱️ 14.03.2021):
```
pip install pdpbox
```
- [Conda](https://anaconda.org/conda-forge/pdpbox) (📥 21K · ⏱️ 10.06.2023):
```
conda install -c conda-forge pdpbox
```
Popmon (🥉20 · ⭐ 490 · 💤) - Monitor the stability of a Pandas or Spark dataframe. MIT
- [GitHub](https://github.com/ing-bank/popmon) (👨💻 17 · 🔀 35 · 📥 150 · 📦 20 · 📋 55 - 27% open · ⏱️ 18.07.2023):
```
git clone https://github.com/ing-bank/popmon
```
- [PyPi](https://pypi.org/project/popmon) (📥 10K / month · 📦 2 · ⏱️ 18.07.2023):
```
pip install popmon
```
ivis (🥉18 · ⭐ 320 · 💤) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
- [GitHub](https://github.com/beringresearch/ivis) (👨💻 10 · 🔀 43 · 📦 32 · 📋 60 - 6% open · ⏱️ 09.11.2023):
```
git clone https://github.com/beringresearch/ivis
```
- [PyPi](https://pypi.org/project/ivis) (📥 1.1K / month · 📦 2 · ⏱️ 10.03.2022):
```
pip install ivis
```
Show 15 hidden projects...
- missingno (🥉29 · ⭐ 3.8K · 💀) - Missing data visualization module for Python. MIT
- Cufflinks (🥉29 · ⭐ 3K · 💀) - Productivity Tools for Plotly + Pandas. MIT
- Facets Overview (🥉28 · ⭐ 7.3K · 💀) - Visualizations for machine learning datasets. Apache-2
- pythreejs (🥉27 · ⭐ 930 · 💀) - A Jupyter - Three.js bridge. BSD-3
- Pandas-Bokeh (🥉24 · ⭐ 880 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
- PandasGUI (🥉23 · ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0
- pivottablejs (🥉22 · ⭐ 680 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT
- joypy (🥉21 · ⭐ 540 · 💀) - Joyplots in Python with matplotlib & pandas. MIT
- vegafusion (🥉21 · ⭐ 300) - Serverside scaling for Vega and Altair visualizations. BSD-3
- PyWaffle (🥉20 · ⭐ 570 · 💀) - Make Waffle Charts in Python. MIT
- animatplot (🥉18 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib. MIT
- pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT
- data-describe (🥉15 · ⭐ 290 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. MIT
- nptsne (🥉12 · ⭐ 32 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
## Text Data & NLP
_Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._
transformers (🥇52 · ⭐ 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
- [GitHub](https://github.com/huggingface/transformers) (👨💻 2.6K · 🔀 25K · 📦 180K · 📋 15K - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/transformers
```
- [PyPi](https://pypi.org/project/transformers) (📥 29M / month · 📦 5.2K · ⏱️ 30.05.2024):
```
pip install transformers
```
- [Conda](https://anaconda.org/conda-forge/transformers) (📥 1.7M · ⏱️ 31.05.2024):
```
conda install -c conda-forge transformers
```
spaCy (🥇44 · ⭐ 29K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
- [GitHub](https://github.com/explosion/spaCy) (👨💻 750 · 🔀 4.3K · 📦 90K · 📋 5.6K - 2% open · ⏱️ 31.05.2024):
```
git clone https://github.com/explosion/spaCy
```
- [PyPi](https://pypi.org/project/spacy) (📥 13M / month · 📦 2.4K · ⏱️ 05.06.2024):
```
pip install spacy
```
- [Conda](https://anaconda.org/conda-forge/spacy) (📥 3.5M · ⏱️ 05.06.2024):
```
conda install -c conda-forge spacy
```
litellm (🥇42 · ⭐ 9.5K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s
- [GitHub](https://github.com/BerriAI/litellm) (👨💻 250 · 🔀 1K · 📥 250 · 📦 2K · 📋 2.5K - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/BerriAI/litellm
```
- [PyPi](https://pypi.org/project/litellm) (📥 610K / month · 📦 220 · ⏱️ 06.06.2024):
```
pip install litellm
```
sentence-transformers (🥇41 · ⭐ 14K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨💻 170 · 🔀 2.4K · 📦 35K · 📋 2K - 53% open · ⏱️ 06.06.2024):
```
git clone https://github.com/UKPLab/sentence-transformers
```
- [PyPi](https://pypi.org/project/sentence-transformers) (📥 4.3M / month · 📦 1.3K · ⏱️ 28.05.2024):
```
pip install sentence-transformers
```
- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 260K · ⏱️ 28.05.2024):
```
conda install -c conda-forge sentence-transformers
```
nltk (🥇41 · ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
- [GitHub](https://github.com/nltk/nltk) (👨💻 450 · 🔀 2.8K · 📦 280K · 📋 1.8K - 15% open · ⏱️ 05.04.2024):
```
git clone https://github.com/nltk/nltk
```
- [PyPi](https://pypi.org/project/nltk) (📥 20M / month · 📦 4.3K · ⏱️ 20.07.2023):
```
pip install nltk
```
- [Conda](https://anaconda.org/conda-forge/nltk) (📥 2.6M · ⏱️ 16.06.2023):
```
conda install -c conda-forge nltk
```
Tokenizers (🥇40 · ⭐ 8.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
- [GitHub](https://github.com/huggingface/tokenizers) (👨💻 88 · 🔀 740 · 📥 47 · 📦 81K · 📋 960 - 6% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/tokenizers
```
- [PyPi](https://pypi.org/project/tokenizers) (📥 26M / month · 📦 750 · ⏱️ 17.04.2024):
```
pip install tokenizers
```
- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 1.7M · ⏱️ 18.04.2024):
```
conda install -c conda-forge tokenizers
```
gensim (🥇39 · ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1
- [GitHub](https://github.com/piskvorky/gensim) (👨💻 450 · 🔀 4.3K · 📥 4.6K · 📦 60K · 📋 1.8K - 20% open · ⏱️ 02.06.2024):
```
git clone https://github.com/RaRe-Technologies/gensim
```
- [PyPi](https://pypi.org/project/gensim) (📥 4.7M / month · 📦 1.3K · ⏱️ 24.08.2023):
```
pip install gensim
```
- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.3M · ⏱️ 08.02.2024):
```
conda install -c conda-forge gensim
```
Rasa (🥇38 · ⭐ 18K) - Open source machine learning framework to automate text- and voice-.. Apache-2
- [GitHub](https://github.com/RasaHQ/rasa) (👨💻 590 · 🔀 4.5K · 📦 4.2K · 📋 6.8K - 1% open · ⏱️ 21.03.2024):
```
git clone https://github.com/RasaHQ/rasa
```
- [PyPi](https://pypi.org/project/rasa) (📥 120K / month · 📦 59 · ⏱️ 18.04.2024):
```
pip install rasa
```
sentencepiece (🥇38 · ⭐ 9.7K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
- [GitHub](https://github.com/google/sentencepiece) (👨💻 88 · 🔀 1.1K · 📥 38K · 📦 67K · 📋 720 - 3% open · ⏱️ 04.06.2024):
```
git clone https://github.com/google/sentencepiece
```
- [PyPi](https://pypi.org/project/sentencepiece) (📥 21M / month · 📦 1.5K · ⏱️ 19.02.2024):
```
pip install sentencepiece
```
- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 820K · ⏱️ 27.05.2024):
```
conda install -c conda-forge sentencepiece
```
flair (🥇37 · ⭐ 14K · 📉) - A very simple framework for state-of-the-art Natural Language.. MIT
- [GitHub](https://github.com/flairNLP/flair) (👨💻 260 · 🔀 2.1K · 📦 3.3K · 📋 2.3K - 3% open · ⏱️ 24.05.2024):
```
git clone https://github.com/flairNLP/flair
```
- [PyPi](https://pypi.org/project/flair) (📥 290K / month · 📦 130 · ⏱️ 18.12.2023):
```
pip install flair
```
- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 25K · ⏱️ 05.01.2024):
```
conda install -c conda-forge python-flair
```
TextBlob (🥇37 · ⭐ 9K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
- [GitHub](https://github.com/sloria/TextBlob) (👨💻 37 · 🔀 1.1K · 📥 120 · 📦 39K · 📋 280 - 39% open · ⏱️ 05.06.2024):
```
git clone https://github.com/sloria/TextBlob
```
- [PyPi](https://pypi.org/project/textblob) (📥 1.1M / month · 📦 340 · ⏱️ 22.10.2021):
```
pip install textblob
```
- [Conda](https://anaconda.org/conda-forge/textblob) (📥 250K · ⏱️ 16.06.2023):
```
conda install -c conda-forge textblob
```
haystack (🥈36 · ⭐ 14K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
- [GitHub](https://github.com/deepset-ai/haystack) (👨💻 240 · 🔀 1.7K · 📥 24 · 📦 290 · 📋 3.3K - 3% open · ⏱️ 06.06.2024):
```
git clone https://github.com/deepset-ai/haystack
```
- [PyPi](https://pypi.org/project/haystack) (📥 4.6K / month · 📦 5 · ⏱️ 15.12.2021):
```
pip install haystack
```
fairseq (🥈35 · ⭐ 30K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
- [GitHub](https://github.com/facebookresearch/fairseq) (👨💻 420 · 🔀 6.3K · 📥 330 · 📦 3.2K · 📋 4.3K - 29% open · ⏱️ 30.05.2024):
```
git clone https://github.com/facebookresearch/fairseq
```
- [PyPi](https://pypi.org/project/fairseq) (📥 270K / month · 📦 110 · ⏱️ 27.06.2022):
```
pip install fairseq
```
- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 69K · ⏱️ 17.05.2024):
```
conda install -c conda-forge fairseq
```
NeMo (🥈35 · ⭐ 10K) - A scalable generative AI framework built for researchers and.. Apache-2
- [GitHub](https://github.com/NVIDIA/NeMo) (👨💻 320 · 🔀 2.2K · 📥 180K · 📦 21 · 📋 2.2K - 6% open · ⏱️ 06.06.2024):
```
git clone https://github.com/NVIDIA/NeMo
```
- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 49K / month · 📦 13 · ⏱️ 06.06.2024):
```
pip install nemo-toolkit
```
OpenNMT (🥈35 · ⭐ 6.6K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT
- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨💻 190 · 🔀 2.2K · 📦 280 · 📋 1.4K - 1% open · ⏱️ 15.05.2024):
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 11K / month · 📦 18 · ⏱️ 18.03.2024):
```
pip install OpenNMT-py
```
spark-nlp (🥈35 · ⭐ 3.7K) - State of the Art Natural Language Processing. Apache-2
- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨💻 110 · 🔀 700 · 📦 440 · 📋 880 - 5% open · ⏱️ 27.05.2024):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
- [PyPi](https://pypi.org/project/spark-nlp) (📥 4.2M / month · 📦 37 · ⏱️ 05.06.2024):
```
pip install spark-nlp
```
fastText (🥈34 · ⭐ 26K) - Library for fast text representation and classification. MIT
- [GitHub](https://github.com/facebookresearch/fastText) (👨💻 68 · 🔀 4.7K · 📦 6K · 📋 1.2K - 47% open · ⏱️ 13.03.2024):
```
git clone https://github.com/facebookresearch/fastText
```
- [PyPi](https://pypi.org/project/fasttext) (📥 1.3M / month · 📦 230 · ⏱️ 28.04.2020):
```
pip install fasttext
```
- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 83K · ⏱️ 19.05.2024):
```
conda install -c conda-forge fasttext
```
stanza (🥈34 · ⭐ 7.1K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
- [GitHub](https://github.com/stanfordnlp/stanza) (👨💻 68 · 🔀 870 · 📦 2.8K · 📋 880 - 10% open · ⏱️ 20.04.2024):
```
git clone https://github.com/stanfordnlp/stanza
```
- [PyPi](https://pypi.org/project/stanza) (📥 310K / month · 📦 170 · ⏱️ 20.04.2024):
```
pip install stanza
```
- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 7.4K · ⏱️ 16.06.2023):
```
conda install -c stanfordnlp stanza
```
torchtext (🥈34 · ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
- [GitHub](https://github.com/pytorch/text) (👨💻 160 · 🔀 810 · 📋 840 - 38% open · ⏱️ 24.04.2024):
```
git clone https://github.com/pytorch/text
```
- [PyPi](https://pypi.org/project/torchtext) (📥 680K / month · 📦 260 · ⏱️ 24.04.2024):
```
pip install torchtext
```
jellyfish (🥈34 · ⭐ 2K) - a python library for doing approximate and phonetic matching of strings. MIT
- [GitHub](https://github.com/jamesturk/jellyfish) (👨💻 31 · 🔀 160 · 📦 9.1K · 📋 130 - 3% open · ⏱️ 28.05.2024):
```
git clone https://github.com/jamesturk/jellyfish
```
- [PyPi](https://pypi.org/project/jellyfish) (📥 4.2M / month · 📦 240 · ⏱️ 28.05.2024):
```
pip install jellyfish
```
- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 880K · ⏱️ 29.05.2024):
```
conda install -c conda-forge jellyfish
```
TensorFlow Text (🥈34 · ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
- [GitHub](https://github.com/tensorflow/text) (👨💻 120 · 🔀 330 · 📦 6.9K · 📋 340 - 49% open · ⏱️ 04.06.2024):
```
git clone https://github.com/tensorflow/text
```
- [PyPi](https://pypi.org/project/tensorflow-text) (📥 7M / month · 📦 200 · ⏱️ 11.03.2024):
```
pip install tensorflow-text
```
qdrant (🥈33 · ⭐ 18K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
- [GitHub](https://github.com/qdrant/qdrant) (👨💻 110 · 🔀 1.2K · 📥 43K · 📦 110 · 📋 1.1K - 20% open · ⏱️ 28.05.2024):
```
git clone https://github.com/qdrant/qdrant
```
rubrix (🥈33 · ⭐ 3.2K) - Argilla is a collaboration platform for AI engineers and domain.. Apache-2
- [GitHub](https://github.com/argilla-io/argilla) (👨💻 89 · 🔀 310 · 📦 2.5K · 📋 2K - 8% open · ⏱️ 03.06.2024):
```
git clone https://github.com/recognai/rubrix
```
- [PyPi](https://pypi.org/project/rubrix) (📥 500 / month · ⏱️ 24.10.2022):
```
pip install rubrix
```
- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 31K · ⏱️ 16.06.2023):
```
conda install -c conda-forge rubrix
```
ParlAI (🥈32 · ⭐ 10K · 💤) - A framework for training and evaluating AI models on a variety of.. MIT
- [GitHub](https://github.com/facebookresearch/ParlAI) (👨💻 220 · 🔀 2.1K · 📦 240 · 📋 1.5K - 3% open · ⏱️ 03.11.2023):
```
git clone https://github.com/facebookresearch/ParlAI
```
- [PyPi](https://pypi.org/project/parlai) (📥 2.5K / month · 📦 5 · ⏱️ 20.09.2022):
```
pip install parlai
```
ftfy (🥈32 · ⭐ 3.7K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
- [GitHub](https://github.com/rspeer/python-ftfy) (👨💻 18 · 🔀 120 · 📦 20K · 📋 140 - 13% open · ⏱️ 15.03.2024):
```
git clone https://github.com/rspeer/python-ftfy
```
- [PyPi](https://pypi.org/project/ftfy) (📥 5.1M / month · 📦 500 · ⏱️ 15.03.2024):
```
pip install ftfy
```
- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 290K · ⏱️ 22.11.2023):
```
conda install -c conda-forge ftfy
```
DeepPavlov (🥈31 · ⭐ 6.6K) - An open source library for deep learning end-to-end dialog.. Apache-2
- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨💻 77 · 🔀 1.1K · 📦 390 · 📋 640 - 3% open · ⏱️ 13.03.2024):
```
git clone https://github.com/deepmipt/DeepPavlov
```
- [PyPi](https://pypi.org/project/deeppavlov) (📥 10K / month · 📦 4 · ⏱️ 13.03.2024):
```
pip install deeppavlov
```
TextDistance (🥈30 · ⭐ 3.3K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
- [GitHub](https://github.com/life4/textdistance) (👨💻 15 · 🔀 240 · 📥 1K · 📦 6.4K · ⏱️ 24.04.2024):
```
git clone https://github.com/life4/textdistance
```
- [PyPi](https://pypi.org/project/textdistance) (📥 810K / month · 📦 93 · ⏱️ 24.04.2024):
```
pip install textdistance
```
- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 560K · ⏱️ 25.04.2024):
```
conda install -c conda-forge textdistance
```
spacy-transformers (🥈30 · ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
- [GitHub](https://github.com/explosion/spacy-transformers) (👨💻 22 · 🔀 160 · 📦 1.7K · ⏱️ 05.06.2024):
```
git clone https://github.com/explosion/spacy-transformers
```
- [PyPi](https://pypi.org/project/spacy-transformers) (📥 280K / month · 📦 51 · ⏱️ 25.04.2024):
```
pip install spacy-transformers
```
- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 37K · ⏱️ 19.12.2023):
```
conda install -c conda-forge spacy-transformers
```
snowballstemmer (🥈30 · ⭐ 720) - Snowball compiler and stemming algorithms. BSD-3
- [GitHub](https://github.com/snowballstem/snowball) (👨💻 34 · 🔀 170 · 📦 5 · 📋 88 - 30% open · ⏱️ 02.05.2024):
```
git clone https://github.com/snowballstem/snowball
```
- [PyPi](https://pypi.org/project/snowballstemmer) (📥 15M / month · 📦 410 · ⏱️ 16.11.2021):
```
pip install snowballstemmer
```
- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 8.1M · ⏱️ 16.06.2023):
```
conda install -c conda-forge snowballstemmer
```
Dedupe (🥈29 · ⭐ 4K) - A python library for accurate and scalable fuzzy matching, record.. MIT
- [GitHub](https://github.com/dedupeio/dedupe) (👨💻 70 · 🔀 540 · 📦 330 · 📋 810 - 9% open · ⏱️ 19.12.2023):
```
git clone https://github.com/dedupeio/dedupe
```
- [PyPi](https://pypi.org/project/dedupe) (📥 67K / month · 📦 18 · ⏱️ 17.02.2023):
```
pip install dedupe
```
- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 52K · ⏱️ 16.06.2023):
```
conda install -c conda-forge dedupe
```
Sumy (🥈29 · ⭐ 3.4K) - Module for automatic summarization of text documents and HTML pages. Apache-2
- [GitHub](https://github.com/miso-belica/sumy) (👨💻 32 · 🔀 520 · 📦 2.8K · 📋 120 - 17% open · ⏱️ 16.05.2024):
```
git clone https://github.com/miso-belica/sumy
```
- [PyPi](https://pypi.org/project/sumy) (📥 530K / month · 📦 27 · ⏱️ 23.10.2022):
```
pip install sumy
```
- [Conda](https://anaconda.org/conda-forge/sumy) (📥 8.1K · ⏱️ 16.06.2023):
```
conda install -c conda-forge sumy
```
SciSpacy (🥈28 · ⭐ 1.6K · 📉) - A full spaCy pipeline and models for scientific/biomedical.. Apache-2
- [GitHub](https://github.com/allenai/scispacy) (👨💻 33 · 🔀 220 · 📦 910 · 📋 310 - 10% open · ⏱️ 30.03.2024):
```
git clone https://github.com/allenai/scispacy
```
- [PyPi](https://pypi.org/project/scispacy) (📥 26K / month · 📦 34 · ⏱️ 08.03.2024):
```
pip install scispacy
```
CLTK (🥈28 · ⭐ 820) - The Classical Language Toolkit. MIT
- [GitHub](https://github.com/cltk/cltk) (👨💻 120 · 🔀 320 · 📥 64 · 📦 260 · 📋 570 - 6% open · ⏱️ 12.05.2024):
```
git clone https://github.com/cltk/cltk
```
- [PyPi](https://pypi.org/project/cltk) (📥 1.9K / month · 📦 15 · ⏱️ 12.05.2024):
```
pip install cltk
```
DeepKE (🥉27 · ⭐ 3.1K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
- [GitHub](https://github.com/zjunlp/DeepKE) (👨💻 31 · 🔀 640 · 📦 21 · 📋 490 - 0% open · ⏱️ 03.06.2024):
```
git clone https://github.com/zjunlp/deepke
```
- [PyPi](https://pypi.org/project/deepke) (📥 440 / month · ⏱️ 21.09.2023):
```
pip install deepke
```
Ciphey (🥉26 · ⭐ 17K · 💤) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
- [GitHub](https://github.com/Ciphey/Ciphey) (👨💻 48 · 🔀 1.1K · 📋 330 - 20% open · ⏱️ 12.10.2023):
```
git clone https://github.com/Ciphey/Ciphey
```
- [PyPi](https://pypi.org/project/ciphey) (📥 41K / month · ⏱️ 06.06.2021):
```
pip install ciphey
```
- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (📥 24K · ⭐ 17 · ⏱️ 14.10.2023):
```
docker pull remnux/ciphey
```
scattertext (🥉26 · ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2
- [GitHub](https://github.com/JasonKessler/scattertext) (👨💻 14 · 🔀 280 · 📦 560 · 📋 100 - 21% open · ⏱️ 06.03.2024):
```
git clone https://github.com/JasonKessler/scattertext
```
- [PyPi](https://pypi.org/project/scattertext) (📥 12K / month · 📦 5 · ⏱️ 06.03.2024):
```
pip install scattertext
```
- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 90K · ⏱️ 16.06.2023):
```
conda install -c conda-forge scattertext
```
PyTextRank (🥉26 · ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
- [GitHub](https://github.com/DerwenAI/pytextrank) (👨💻 19 · 🔀 340 · 📦 660 · 📋 100 - 8% open · ⏱️ 21.05.2024):
```
git clone https://github.com/DerwenAI/pytextrank
```
- [PyPi](https://pypi.org/project/pytextrank) (📥 42K / month · 📦 18 · ⏱️ 21.02.2024):
```
pip install pytextrank
```
promptsource (🥉24 · ⭐ 2.5K · 💤) - Toolkit for creating, sharing and using natural language.. Apache-2
- [GitHub](https://github.com/bigscience-workshop/promptsource) (👨💻 65 · 🔀 340 · 📦 96 · 📋 190 - 22% open · ⏱️ 23.10.2023):
```
git clone https://github.com/bigscience-workshop/promptsource
```
- [PyPi](https://pypi.org/project/promptsource) (📥 640 / month · 📦 4 · ⏱️ 18.04.2022):
```
pip install promptsource
```
pytorch-nlp (🥉24 · ⭐ 2.2K · 💤) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3
- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (👨💻 18 · 🔀 250 · 📦 690 · 📋 69 - 27% open · ⏱️ 04.07.2023):
```
git clone https://github.com/PetrochukM/PyTorch-NLP
```
- [PyPi](https://pypi.org/project/pytorch-nlp) (📥 5.2K / month · 📦 19 · ⏱️ 04.11.2019):
```
pip install pytorch-nlp
```
detoxify (🥉24 · ⭐ 870) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
- [GitHub](https://github.com/unitaryai/detoxify) (👨💻 12 · 🔀 110 · 📥 500K · 📦 600 · 📋 62 - 56% open · ⏱️ 16.05.2024):
```
git clone https://github.com/unitaryai/detoxify
```
- [PyPi](https://pypi.org/project/detoxify) (📥 30K / month · 📦 15 · ⏱️ 01.02.2024):
```
pip install detoxify
```
T5 (🥉23 · ⭐ 6K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨💻 59 · 🔀 740 · 📋 450 - 23% open · ⏱️ 23.01.2024):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
- [PyPi](https://pypi.org/project/t5) (📥 38K / month · 📦 2 · ⏱️ 18.10.2021):
```
pip install t5
```
Texthero (🥉23 · ⭐ 2.9K · 💤) - Text preprocessing, representation and visualization from zero to.. MIT
- [GitHub](https://github.com/jbesomi/texthero) (👨💻 21 · 🔀 240 · 📥 120 · 📋 140 - 55% open · ⏱️ 29.08.2023):
```
git clone https://github.com/jbesomi/texthero
```
- [PyPi](https://pypi.org/project/texthero) (📥 8.8K / month · 📦 6 · ⏱️ 01.07.2021):
```
pip install texthero
```
happy-transformer (🥉22 · ⭐ 510) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
- [GitHub](https://github.com/EricFillion/happy-transformer) (👨💻 14 · 🔀 67 · 📦 260 · 📋 130 - 14% open · ⏱️ 19.03.2024):
```
git clone https://github.com/EricFillion/happy-transformer
```
- [PyPi](https://pypi.org/project/happytransformer) (📥 2.5K / month · 📦 5 · ⏱️ 05.08.2023):
```
pip install happytransformer
```
fast-bert (🥉21 · ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2
- [GitHub](https://github.com/utterworks/fast-bert) (👨💻 36 · 🔀 340 · 📋 260 - 63% open · ⏱️ 30.01.2024):
```
git clone https://github.com/utterworks/fast-bert
```
- [PyPi](https://pypi.org/project/fast-bert) (📥 790 / month · ⏱️ 30.01.2024):
```
pip install fast-bert
```
Sockeye (🥉21 · ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
- [GitHub](https://github.com/awslabs/sockeye) (👨💻 60 · 🔀 330 · 📥 18 · 📋 310 - 3% open · ⏱️ 22.05.2024):
```
git clone https://github.com/awslabs/sockeye
```
- [PyPi](https://pypi.org/project/sockeye) (📥 1K / month · ⏱️ 03.03.2023):
```
pip install sockeye
```
finetune (🥉21 · ⭐ 700) - Scikit-learn style model finetuning for NLP. MPL-2.0
- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨💻 23 · 🔀 80 · 📦 11 · 📋 140 - 15% open · ⏱️ 27.03.2024):
```
git clone https://github.com/IndicoDataSolutions/finetune
```
- [PyPi](https://pypi.org/project/finetune) (📥 150 / month · 📦 2 · ⏱️ 29.09.2023):
```
pip install finetune
```
UForm (🥉20 · ⭐ 930) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
- [GitHub](https://github.com/unum-cloud/uform) (👨💻 14 · 🔀 56 · 📥 290 · 📦 6 · 📋 24 - 20% open · ⏱️ 25.04.2024):
```
git clone https://github.com/unum-cloud/uform
```
- [PyPi](https://pypi.org/project/uform) (📥 730 / month · 📦 1 · ⏱️ 25.04.2024):
```
pip install uform
```
small-text (🥉20 · ⭐ 520) - Active Learning for Text Classification in Python. MIT
- [GitHub](https://github.com/webis-de/small-text) (👨💻 6 · 🔀 57 · 📦 28 · 📋 54 - 29% open · ⏱️ 29.12.2023):
```
git clone https://github.com/webis-de/small-text
```
- [PyPi](https://pypi.org/project/small-text) (📥 720 / month · ⏱️ 29.12.2023):
```
pip install small-text
```
- [Conda](https://anaconda.org/conda-forge/small-text) (📥 6.3K · ⏱️ 29.12.2023):
```
conda install -c conda-forge small-text
```
textaugment (🥉18 · ⭐ 380 · 💤) - TextAugment: Text Augmentation Library. MIT
- [GitHub](https://github.com/dsfsi/textaugment) (👨💻 8 · 🔀 59 · 📥 69 · 📦 99 · 📋 29 - 37% open · ⏱️ 17.11.2023):
```
git clone https://github.com/dsfsi/textaugment
```
- [PyPi](https://pypi.org/project/textaugment) (📥 5K / month · 📦 4 · ⏱️ 16.11.2023):
```
pip install textaugment
```
OpenNRE (🥉17 · ⭐ 4.3K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
- [GitHub](https://github.com/thunlp/OpenNRE) (👨💻 13 · 🔀 1.1K · 📦 3 · 📋 370 - 4% open · ⏱️ 10.01.2024):
```
git clone https://github.com/thunlp/OpenNRE
```
VizSeq (🥉15 · ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
- [GitHub](https://github.com/facebookresearch/vizseq) (👨💻 4 · 🔀 61 · 📦 9 · 📋 16 - 43% open · ⏱️ 21.04.2024):
```
git clone https://github.com/facebookresearch/vizseq
```
- [PyPi](https://pypi.org/project/vizseq) (📥 130 / month · ⏱️ 07.08.2020):
```
pip install vizseq
```
Show 51 hidden projects...
- ChatterBot (🥈35 · ⭐ 14K · 💀) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
- AllenNLP (🥈35 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. Apache-2
- fuzzywuzzy (🥈33 · ⭐ 9.1K · 💀) - Fuzzy String Matching in Python. ❗️GPL-2.0
- nlpaug (🥈29 · ⭐ 4.3K · 💀) - Data augmentation for NLP. MIT
- GluonNLP (🥈29 · ⭐ 2.6K · 💀) - Toolkit that enables easy text preprocessing, datasets.. Apache-2
- english-words (🥈28 · ⭐ 10K · 💀) - A text file containing 479k English words for all your.. Unlicense
- fastNLP (🥈28 · ⭐ 3K · 💀) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
- langid (🥈28 · ⭐ 2.3K · 💀) - Stand-alone language identification system. BSD-3
- vaderSentiment (🥉27 · ⭐ 4.3K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
- polyglot (🥉27 · ⭐ 2.3K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0
- textacy (🥉27 · ⭐ 2.2K · 💀) - NLP, before and after spaCy. ❗Unlicensed
- flashtext (🥉26 · ⭐ 5.6K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT
- underthesea (🥉26 · ⭐ 1.3K · 💤) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0
- Snips NLU (🥉25 · ⭐ 3.9K · 💀) - Snips Python library to extract meaning from text. Apache-2
- neuralcoref (🥉25 · ⭐ 2.8K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
- pySBD (🥉25 · ⭐ 740 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- whoosh (🥉25 · ⭐ 540 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause
- PyText (🥉24 · ⭐ 6.4K · 💀) - A natural language modeling framework based on PyTorch. BSD-3
- textgenrnn (🥉24 · ⭐ 4.9K · 💀) - Easily train your own text-generating neural network of any.. MIT
- OpenPrompt (🥉24 · ⭐ 4.2K · 💀) - An Open-Source Framework for Prompt-Learning. Apache-2
- MatchZoo (🥉24 · ⭐ 3.8K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2
- sense2vec (🥉24 · ⭐ 1.6K · 💀) - Contextually-keyed word vectors. MIT
- DeepMatcher (🥉23 · ⭐ 5K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3
- Kashgari (🥉23 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2
- FARM (🥉23 · ⭐ 1.7K · 💀) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2
- gpt-2-simple (🥉22 · ⭐ 3.4K · 💀) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT
- Texar (🥉22 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2
- jiant (🥉22 · ⭐ 1.6K · 💀) - jiant is an nlp toolkit. MIT
- YouTokenToMe (🥉22 · ⭐ 950 · 💀) - Unsupervised text tokenizer focused on computational efficiency. MIT
- stop-words (🥉22 · ⭐ 160 · 💀) - Get list of common stop words in various languages in Python. BSD-3
- DELTA (🥉21 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2
- lightseq (🥉20 · ⭐ 3.1K · 💀) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2
- NLP Architect (🥉20 · ⭐ 2.9K · 💀) - A model library for exploring state-of-the-art deep.. Apache-2
- anaGo (🥉20 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT
- pyfasttext (🥉19 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0
- numerizer (🥉19 · ⭐ 210 · 💀) - A Python module to convert natural language numerics into ints and.. MIT
- nboost (🥉18 · ⭐ 670 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
- fastT5 (🥉18 · ⭐ 540 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- Camphr (🥉18 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
- textpipe (🥉18 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT
- NeuroNER (🥉17 · ⭐ 1.7K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
- TextBox (🥉16 · ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
- skift (🥉16 · ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText. MIT
- BLINK (🥉15 · ⭐ 1.1K · 💀) - Entity Linker solution. MIT
- Translate (🥉15 · ⭐ 820 · 💀) - Translate - a PyTorch Language Library. BSD-3
- NeuralQA (🥉14 · ⭐ 230 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
- Headliner (🥉14 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT
- TransferNLP (🥉13 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT
- ONNX-T5 (🥉13 · ⭐ 250 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
- textvec (🥉13 · ⭐ 190) - Text vectorization tool to outperform TFIDF for classification tasks. MIT
- spacy-dbpedia-spotlight (🥉12 · ⭐ 100 · 💀) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
## Image Data
_Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._
Pillow (🥇48 · ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL
- [GitHub](https://github.com/python-pillow/Pillow) (👨💻 470 · 🔀 2.1K · 📦 1.7M · 📋 3.1K - 3% open · ⏱️ 06.06.2024):
```
git clone https://github.com/python-pillow/Pillow
```
- [PyPi](https://pypi.org/project/Pillow) (📥 99M / month · 📦 4.2K · ⏱️ 01.04.2024):
```
pip install Pillow
```
- [Conda](https://anaconda.org/conda-forge/pillow) (📥 40M · ⏱️ 03.04.2024):
```
conda install -c conda-forge pillow
```
torchvision (🥇42 · ⭐ 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
- [GitHub](https://github.com/pytorch/vision) (👨💻 600 · 🔀 6.9K · 📥 38K · 📦 21 · 📋 3.4K - 29% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/vision
```
- [PyPi](https://pypi.org/project/torchvision) (📥 13M / month · 📦 5K · ⏱️ 05.06.2024):
```
pip install torchvision
```
- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 1.2M · ⏱️ 16.05.2024):
```
conda install -c conda-forge torchvision
```
PyTorch Image Models (🥇41 · ⭐ 30K) - The largest collection of PyTorch image encoders /.. Apache-2
- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨💻 140 · 🔀 4.6K · 📥 6.6M · 📦 30K · 📋 880 - 6% open · ⏱️ 27.05.2024):
```
git clone https://github.com/rwightman/pytorch-image-models
```
- [PyPi](https://pypi.org/project/timm) (📥 5.1M / month · 📦 760 · ⏱️ 15.05.2024):
```
pip install timm
```
- [Conda](https://anaconda.org/conda-forge/timm) (📥 160K · ⏱️ 16.05.2024):
```
conda install -c conda-forge timm
```
MMDetection (🥇38 · ⭐ 28K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
- [GitHub](https://github.com/open-mmlab/mmdetection) (👨💻 480 · 🔀 9.2K · 📦 2.6K · 📋 8.3K - 19% open · ⏱️ 05.02.2024):
```
git clone https://github.com/open-mmlab/mmdetection
```
- [PyPi](https://pypi.org/project/mmdet) (📥 260K / month · 📦 64 · ⏱️ 05.01.2024):
```
pip install mmdet
```
Albumentations (🥇38 · ⭐ 14K) - Fast and flexible image augmentation library. Paper about.. MIT
- [GitHub](https://github.com/albumentations-team/albumentations) (👨💻 140 · 🔀 1.6K · 📦 24K · 📋 960 - 44% open · ⏱️ 06.06.2024):
```
git clone https://github.com/albumentations-team/albumentations
```
- [PyPi](https://pypi.org/project/albumentations) (📥 2.1M / month · 📦 510 · ⏱️ 28.05.2024):
```
pip install albumentations
```
- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 170K · ⏱️ 05.03.2024):
```
conda install -c conda-forge albumentations
```
MoviePy (🥇38 · ⭐ 12K) - Video editing with Python. MIT
- [GitHub](https://github.com/Zulko/moviepy) (👨💻 160 · 🔀 1.5K · 📦 40K · 📋 1.5K - 28% open · ⏱️ 27.05.2024):
```
git clone https://github.com/Zulko/moviepy
```
- [PyPi](https://pypi.org/project/moviepy) (📥 1.2M / month · 📦 820 · ⏱️ 15.12.2021):
```
pip install moviepy
```
- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 250K · ⏱️ 16.06.2023):
```
conda install -c conda-forge moviepy
```
Kornia (🥇38 · ⭐ 9.5K) - Geometric Computer Vision Library for Spatial AI. Apache-2
- [GitHub](https://github.com/kornia/kornia) (👨💻 260 · 🔀 940 · 📥 1.1K · 📦 10K · 📋 910 - 29% open · ⏱️ 28.05.2024):
```
git clone https://github.com/kornia/kornia
```
- [PyPi](https://pypi.org/project/kornia) (📥 1.4M / month · 📦 240 · ⏱️ 14.03.2024):
```
pip install kornia
```
- [Conda](https://anaconda.org/conda-forge/kornia) (📥 130K · ⏱️ 20.02.2024):
```
conda install -c conda-forge kornia
```
imageio (🥇38 · ⭐ 1.4K · 📈) - Python library for reading and writing image data. BSD-2
- [GitHub](https://github.com/imageio/imageio) (👨💻 110 · 🔀 290 · 📥 1.1K · 📦 130K · 📋 600 - 17% open · ⏱️ 03.06.2024):
```
git clone https://github.com/imageio/imageio
```
- [PyPi](https://pypi.org/project/imageio) (📥 22M / month · 📦 2.2K · ⏱️ 22.04.2024):
```
pip install imageio
```
- [Conda](https://anaconda.org/conda-forge/imageio) (📥 6.4M · ⏱️ 22.04.2024):
```
conda install -c conda-forge imageio
```
deepface (🥈37 · ⭐ 11K · 📈) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
- [GitHub](https://github.com/serengil/deepface) (👨💻 62 · 🔀 1.9K · 📦 3.3K · 📋 1K - 0% open · ⏱️ 06.06.2024):
```
git clone https://github.com/serengil/deepface
```
- [PyPi](https://pypi.org/project/deepface) (📥 66K / month · 📦 36 · ⏱️ 02.05.2024):
```
pip install deepface
```
InsightFace (🥈36 · ⭐ 22K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
- [GitHub](https://github.com/deepinsight/insightface) (👨💻 60 · 🔀 5.2K · 📥 3.4M · 📦 2.2K · 📋 2.4K - 44% open · ⏱️ 08.05.2024):
```
git clone https://github.com/deepinsight/insightface
```
- [PyPi](https://pypi.org/project/insightface) (📥 360K / month · 📦 22 · ⏱️ 17.12.2022):
```
pip install insightface
```
opencv-python (🥈36 · ⭐ 4.2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
- [GitHub](https://github.com/opencv/opencv-python) (👨💻 48 · 🔀 800 · 📦 400K · 📋 780 - 14% open · ⏱️ 03.06.2024):
```
git clone https://github.com/opencv/opencv-python
```
- [PyPi](https://pypi.org/project/opencv-python) (📥 15M / month · 📦 9.5K · ⏱️ 03.06.2024):
```
pip install opencv-python
```
detectron2 (🥈34 · ⭐ 29K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
- [GitHub](https://github.com/facebookresearch/detectron2) (👨💻 270 · 🔀 7.3K · 📦 1.8K · 📋 3.5K - 13% open · ⏱️ 06.06.2024):
```
git clone https://github.com/facebookresearch/detectron2
```
- [PyPi](https://pypi.org/project/detectron2) (📦 11 · ⏱️ 06.02.2020):
```
pip install detectron2
```
- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 280K · ⏱️ 19.05.2024):
```
conda install -c conda-forge detectron2
```
Wand (🥈33 · ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
- [GitHub](https://github.com/emcconville/wand) (👨💻 100 · 🔀 200 · 📥 47K · 📦 19K · 📋 420 - 6% open · ⏱️ 11.02.2024):
```
git clone https://github.com/emcconville/wand
```
- [PyPi](https://pypi.org/project/wand) (📥 870K / month · 📦 240 · ⏱️ 03.11.2023):
```
pip install wand
```
- [Conda](https://anaconda.org/conda-forge/wand) (📥 49K · ⏱️ 16.06.2023):
```
conda install -c conda-forge wand
```
imageai (🥈31 · ⭐ 8.5K) - A python library built to empower developers to build applications and.. MIT
- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨💻 19 · 🔀 2.2K · 📥 930K · 📦 1.6K · 📋 760 - 40% open · ⏱️ 20.02.2024):
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
- [PyPi](https://pypi.org/project/imageai) (📥 11K / month · 📦 19 · ⏱️ 02.01.2023):
```
pip install imageai
```
- [Conda](https://anaconda.org/conda-forge/imageai) (📥 7.2K · ⏱️ 16.06.2023):
```
conda install -c conda-forge imageai
```
PaddleSeg (🥈31 · ⭐ 8.4K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨💻 120 · 🔀 1.6K · 📦 1.2K · 📋 2.1K - 10% open · ⏱️ 20.05.2024):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
- [PyPi](https://pypi.org/project/paddleseg) (📥 2.4K / month · 📦 7 · ⏱️ 30.11.2022):
```
pip install paddleseg
```
lightly (🥈31 · ⭐ 2.8K) - A python library for self-supervised learning on images. MIT
- [GitHub](https://github.com/lightly-ai/lightly) (👨💻 40 · 🔀 240 · 📦 260 · 📋 520 - 19% open · ⏱️ 05.06.2024):
```
git clone https://github.com/lightly-ai/lightly
```
- [PyPi](https://pypi.org/project/lightly) (📥 32K / month · 📦 13 · ⏱️ 29.05.2024):
```
pip install lightly
```
vit-pytorch (🥈30 · ⭐ 18K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨💻 21 · 🔀 2.8K · 📦 480 · 📋 260 - 46% open · ⏱️ 11.05.2024):
```
git clone https://github.com/lucidrains/vit-pytorch
```
- [PyPi](https://pypi.org/project/vit-pytorch) (📥 23K / month · 📦 11 · ⏱️ 11.05.2024):
```
pip install vit-pytorch
```
sahi (🥈30 · ⭐ 3.7K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
- [GitHub](https://github.com/obss/sahi) (👨💻 47 · 🔀 540 · 📥 25K · 📦 1.1K · ⏱️ 02.06.2024):
```
git clone https://github.com/obss/sahi
```
- [PyPi](https://pypi.org/project/sahi) (📥 120K / month · 📦 25 · ⏱️ 20.05.2024):
```
pip install sahi
```
- [Conda](https://anaconda.org/conda-forge/sahi) (📥 60K · ⏱️ 21.05.2024):
```
conda install -c conda-forge sahi
```
ImageHash (🥈30 · ⭐ 3K) - A Python Perceptual Image Hashing Module. BSD-2
- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨💻 26 · 🔀 320 · 📦 13K · 📋 140 - 10% open · ⏱️ 26.05.2024):
```
git clone https://github.com/JohannesBuchner/imagehash
```
- [PyPi](https://pypi.org/project/ImageHash) (📥 1.7M / month · 📦 220 · ⏱️ 28.09.2022):
```
pip install ImageHash
```
- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 370K · ⏱️ 16.06.2023):
```
conda install -c conda-forge imagehash
```
doctr (🥈29 · ⭐ 3.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
- [GitHub](https://github.com/mindee/doctr) (👨💻 46 · 🔀 380 · 📥 3M · 📋 350 - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/mindee/doctr
```
- [PyPi](https://pypi.org/project/python-doctr) (📥 30K / month · 📦 7 · ⏱️ 04.03.2024):
```
pip install python-doctr
```
mahotas (🥈29 · ⭐ 830) - Computer Vision in Python. MIT
- [GitHub](https://github.com/luispedro/mahotas) (👨💻 35 · 🔀 150 · 📦 1.3K · 📋 89 - 22% open · ⏱️ 22.05.2024):
```
git clone https://github.com/luispedro/mahotas
```
- [PyPi](https://pypi.org/project/mahotas) (📥 15K / month · 📦 60 · ⏱️ 17.04.2024):
```
pip install mahotas
```
- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 420K · ⏱️ 18.05.2024):
```
conda install -c conda-forge mahotas
```
Face Alignment (🥉28 · ⭐ 6.9K · 💤) - 2D and 3D Face alignment library build using pytorch. BSD-3
- [GitHub](https://github.com/1adrianb/face-alignment) (👨💻 26 · 🔀 1.3K · 📦 21 · 📋 320 - 24% open · ⏱️ 16.08.2023):
```
git clone https://github.com/1adrianb/face-alignment
```
- [PyPi](https://pypi.org/project/face-alignment) (📥 70K / month · 📦 9 · ⏱️ 17.08.2023):
```
pip install face-alignment
```
facenet-pytorch (🥉28 · ⭐ 4.2K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
- [GitHub](https://github.com/timesler/facenet-pytorch) (👨💻 17 · 🔀 920 · 📥 1M · 📦 1.8K · 📋 180 - 39% open · ⏱️ 05.04.2024):
```
git clone https://github.com/timesler/facenet-pytorch
```
- [PyPi](https://pypi.org/project/facenet-pytorch) (📥 63K / month · 📦 30 · ⏱️ 29.04.2024):
```
pip install facenet-pytorch
```
PaddleDetection (🥉27 · ⭐ 12K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨💻 160 · 🔀 2.8K · 📋 5.3K - 22% open · ⏱️ 22.05.2024):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
- [PyPi](https://pypi.org/project/paddledet) (📥 670 / month · 📦 2 · ⏱️ 19.09.2022):
```
pip install paddledet
```
vidgear (🥉27 · ⭐ 3.2K · 💤) - A High-performance cross-platform Video Processing Python.. Apache-2
- [GitHub](https://github.com/abhiTronix/vidgear) (👨💻 14 · 🔀 240 · 📥 1.4K · 📦 560 · 📋 280 - 3% open · ⏱️ 10.09.2023):
```
git clone https://github.com/abhiTronix/vidgear
```
- [PyPi](https://pypi.org/project/vidgear) (📥 16K / month · 📦 13 · ⏱️ 10.09.2023):
```
pip install vidgear
```
CellProfiler (🥉27 · ⭐ 870) - An open-source application for biological image analysis. BSD-3
- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨💻 140 · 🔀 370 · 📥 7K · 📦 20 · 📋 3.3K - 9% open · ⏱️ 01.05.2024):
```
git clone https://github.com/CellProfiler/CellProfiler
```
- [PyPi](https://pypi.org/project/cellprofiler) (📥 450 / month · 📦 2 · ⏱️ 14.08.2023):
```
pip install cellprofiler
```
pytorchvideo (🥉26 · ⭐ 3.2K) - A deep learning library for video understanding research. Apache-2
- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨💻 55 · 🔀 390 · 📋 200 - 50% open · ⏱️ 03.03.2024):
```
git clone https://github.com/facebookresearch/pytorchvideo
```
- [PyPi](https://pypi.org/project/pytorchvideo) (📥 67K / month · 📦 23 · ⏱️ 20.01.2022):
```
pip install pytorchvideo
```
Norfair (🥉26 · ⭐ 2.3K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
- [GitHub](https://github.com/tryolabs/norfair) (👨💻 31 · 🔀 230 · 📥 310 · 📦 190 · 📋 160 - 10% open · ⏱️ 30.01.2024):
```
git clone https://github.com/tryolabs/norfair
```
- [PyPi](https://pypi.org/project/norfair) (📥 18K / month · 📦 4 · ⏱️ 30.05.2022):
```
pip install norfair
```
ffcv (🥉25 · ⭐ 2.8K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
- [GitHub](https://github.com/libffcv/ffcv) (👨💻 31 · 🔀 170 · 📦 45 · 📋 270 - 34% open · ⏱️ 06.05.2024):
```
git clone https://github.com/libffcv/ffcv
```
- [PyPi](https://pypi.org/project/ffcv) (📥 1.2K / month · 📦 1 · ⏱️ 28.01.2022):
```
pip install ffcv
```
pyvips (🥉25 · ⭐ 600) - python binding for libvips using cffi. MIT
- [GitHub](https://github.com/libvips/pyvips) (👨💻 16 · 🔀 50 · 📦 730 · 📋 420 - 42% open · ⏱️ 28.04.2024):
```
git clone https://github.com/libvips/pyvips
```
- [PyPi](https://pypi.org/project/pyvips) (📥 46K / month · 📦 73 · ⏱️ 28.04.2024):
```
pip install pyvips
```
- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 87K · ⏱️ 28.04.2024):
```
conda install -c conda-forge pyvips
```
MMF (🥉24 · ⭐ 5.4K) - A modular framework for vision & language multimodal research from.. BSD-3
- [GitHub](https://github.com/facebookresearch/mmf) (👨💻 120 · 🔀 920 · 📦 17 · 📋 690 - 21% open · ⏱️ 25.05.2024):
```
git clone https://github.com/facebookresearch/mmf
```
- [PyPi](https://pypi.org/project/mmf) (📥 200 / month · 📦 1 · ⏱️ 12.06.2020):
```
pip install mmf
```
kubric (🥉24 · ⭐ 2.2K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
- [GitHub](https://github.com/google-research/kubric) (👨💻 30 · 🔀 210 · 📦 4 · 📋 190 - 32% open · ⏱️ 06.06.2024):
```
git clone https://github.com/google-research/kubric
```
- [PyPi](https://pypi.org/project/kubric-nightly) (📥 2.3K / month · ⏱️ 27.12.2023):
```
pip install kubric-nightly
```
tensorflow-graphics (🥉23 · ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
- [GitHub](https://github.com/tensorflow/graphics) (👨💻 39 · 🔀 360 · 📋 240 - 61% open · ⏱️ 13.03.2024):
```
git clone https://github.com/tensorflow/graphics
```
- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 37K / month · 📦 11 · ⏱️ 03.12.2021):
```
pip install tensorflow-graphics
```
PySlowFast (🥉21 · ⭐ 6.3K · 💤) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
- [GitHub](https://github.com/facebookresearch/SlowFast) (👨💻 31 · 🔀 1.2K · 📦 16 · 📋 680 - 57% open · ⏱️ 19.10.2023):
```
git clone https://github.com/facebookresearch/SlowFast
```
- [PyPi](https://pypi.org/project/pyslowfast) (📥 24 / month · ⏱️ 15.01.2020):
```
pip install pyslowfast
```
vissl (🥉21 · ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
- [GitHub](https://github.com/facebookresearch/vissl) (👨💻 38 · 🔀 330 · 📦 40 · 📋 190 - 43% open · ⏱️ 03.03.2024):
```
git clone https://github.com/facebookresearch/vissl
```
- [PyPi](https://pypi.org/project/vissl) (📥 140 / month · 📦 1 · ⏱️ 02.11.2021):
```
pip install vissl
```
DE⫶TR (🥉20 · ⭐ 13K) - End-to-End Object Detection with Transformers. Apache-2
- [GitHub](https://github.com/facebookresearch/detr) (👨💻 27 · 🔀 2.3K · 📦 21 · 📋 540 - 47% open · ⏱️ 12.03.2024):
```
git clone https://github.com/facebookresearch/detr
```
pycls (🥉20 · ⭐ 2.1K · 💤) - Codebase for Image Classification Research, written in PyTorch. MIT
- [GitHub](https://github.com/facebookresearch/pycls) (👨💻 19 · 🔀 240 · 📦 18 · 📋 83 - 32% open · ⏱️ 26.08.2023):
```
git clone https://github.com/facebookresearch/pycls
```
- [PyPi](https://pypi.org/project/pycls) (📥 1.3K / month · ⏱️ 05.09.2020):
```
pip install pycls
```
scenic (🥉18 · ⭐ 3.1K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
- [GitHub](https://github.com/google-research/scenic) (👨💻 81 · 🔀 410 · 📋 260 - 56% open · ⏱️ 22.05.2024):
```
git clone https://github.com/google-research/scenic
```
Show 26 hidden projects...
- scikit-image (🥇42 · ⭐ 5.9K) - Image processing in Python. ❗Unlicensed
- imgaug (🥈37 · ⭐ 14K · 💀) - Image augmentation for machine learning experiments. MIT
- glfw (🥈37 · ⭐ 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib
- Face Recognition (🥈33 · ⭐ 52K · 💀) - The worlds simplest facial recognition api for Python.. MIT
- PyTorch3D (🥈33 · ⭐ 8.4K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed
- imutils (🥈31 · ⭐ 4.5K · 💀) - A series of convenience functions to make basic image processing.. MIT
- GluonCV (🥈29 · ⭐ 5.8K · 💀) - Gluon CV Toolkit. Apache-2
- mtcnn (🥉28 · ⭐ 2.1K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
- layout-parser (🥉27 · ⭐ 4.6K · 💀) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
- chainercv (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
- Augmentor (🥉26 · ⭐ 5K · 💀) - Image augmentation library in Python for machine learning. MIT
- Image Deduplicator (🥉25 · ⭐ 5K · 💀) - Finding duplicate images made easy!. Apache-2
- Pillow-SIMD (🥉25 · ⭐ 2.1K · 💤) - The friendly PIL fork. ❗️PIL
- segmentation_models (🥉24 · ⭐ 4.6K · 💀) - Segmentation models with pretrained backbones. Keras.. MIT
- Image Super-Resolution (🥉23 · ⭐ 4.5K · 💀) - Super-scale your images and run experiments with.. Apache-2
- Luminoth (🥉23 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3
- deep-daze (🥉22 · ⭐ 4.4K · 💀) - Simple command line tool for text to image generation using.. MIT
- icevision (🥉22 · ⭐ 840 · 💀) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
- Classy Vision (🥉21 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video.. MIT
- nude.py (🥉20 · ⭐ 920 · 💀) - Nudity detection with Python. MIT
- detecto (🥉20 · ⭐ 610 · 💀) - Build fully-functioning computer vision models with PyTorch. MIT
- image-match (🥉19 · ⭐ 2.9K · 💀) - Quickly search over billions of images. Apache-2
- solt (🥉18 · ⭐ 260 · 💀) - Streaming over lightweight data transformations. MIT
- Caer (🥉17 · ⭐ 750 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
- Torch Points 3D (🥉16 · ⭐ 200 · 💀) - Pytorch framework for doing deep learning on point.. BSD-3
- HugsVision (🥉15 · ⭐ 190 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface
## Graph Data
_Libraries for graph processing, clustering, embedding, and machine learning tasks._
networkx (🥇44 · ⭐ 14K) - Network Analysis in Python. BSD-3
- [GitHub](https://github.com/networkx/networkx) (👨💻 720 · 🔀 3.2K · 📥 71 · 📦 260K · 📋 3.3K - 10% open · ⏱️ 04.06.2024):
```
git clone https://github.com/networkx/networkx
```
- [PyPi](https://pypi.org/project/networkx) (📥 55M / month · 📦 8.5K · ⏱️ 06.04.2024):
```
pip install networkx
```
- [Conda](https://anaconda.org/conda-forge/networkx) (📥 16M · ⏱️ 08.04.2024):
```
conda install -c conda-forge networkx
```
PyTorch Geometric (🥇38 · ⭐ 20K) - Graph Neural Network Library for PyTorch. MIT
- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨💻 500 · 🔀 3.6K · 📋 3.6K - 27% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
- [PyPi](https://pypi.org/project/torch-geometric) (📥 330K / month · 📦 250 · ⏱️ 19.04.2024):
```
pip install torch-geometric
```
- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 43K · ⏱️ 04.05.2024):
```
conda install -c conda-forge pytorch_geometric
```
dgl (🥇38 · ⭐ 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
- [GitHub](https://github.com/dmlc/dgl) (👨💻 290 · 🔀 3K · 📦 250 · 📋 2.8K - 18% open · ⏱️ 06.06.2024):
```
git clone https://github.com/dmlc/dgl
```
- [PyPi](https://pypi.org/project/dgl) (📥 110K / month · 📦 130 · ⏱️ 13.05.2024):
```
pip install dgl
```
Spektral (🥈29 · ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
- [GitHub](https://github.com/danielegrattarola/spektral) (👨💻 27 · 🔀 340 · 📦 300 · 📋 280 - 24% open · ⏱️ 21.01.2024):
```
git clone https://github.com/danielegrattarola/spektral
```
- [PyPi](https://pypi.org/project/spektral) (📥 9.8K / month · 📦 7 · ⏱️ 21.01.2024):
```
pip install spektral
```
pygraphistry (🥈29 · ⭐ 2.1K · 📈) - PyGraphistry is a Python library to quickly load,.. BSD-3
- [GitHub](https://github.com/graphistry/pygraphistry) (👨💻 42 · 🔀 200 · 📦 110 · 📋 320 - 51% open · ⏱️ 30.04.2024):
```
git clone https://github.com/graphistry/pygraphistry
```
- [PyPi](https://pypi.org/project/graphistry) (📥 3.8K / month · 📦 6 · ⏱️ 30.04.2024):
```
pip install graphistry
```
AmpliGraph (🥈28 · ⭐ 2.1K) - Python library for Representation Learning on Knowledge.. Apache-2
- [GitHub](https://github.com/Accenture/AmpliGraph) (👨💻 21 · 🔀 250 · 📦 50 · 📋 220 - 15% open · ⏱️ 28.02.2024):
```
git clone https://github.com/Accenture/AmpliGraph
```
- [PyPi](https://pypi.org/project/ampligraph) (📥 1.4K / month · 📦 1 · ⏱️ 26.02.2024):
```
pip install ampligraph
```
ogb (🥈28 · ⭐ 1.9K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
- [GitHub](https://github.com/snap-stanford/ogb) (👨💻 32 · 🔀 400 · 📦 1.7K · 📋 290 - 6% open · ⏱️ 01.02.2024):
```
git clone https://github.com/snap-stanford/ogb
```
- [PyPi](https://pypi.org/project/ogb) (📥 36K / month · 📦 22 · ⏱️ 02.11.2022):
```
pip install ogb
```
- [Conda](https://anaconda.org/conda-forge/ogb) (📥 32K · ⏱️ 16.06.2023):
```
conda install -c conda-forge ogb
```
PyKEEN (🥈26 · ⭐ 1.6K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
- [GitHub](https://github.com/pykeen/pykeen) (👨💻 39 · 🔀 180 · 📥 180 · 📋 570 - 20% open · ⏱️ 31.05.2024):
```
git clone https://github.com/pykeen/pykeen
```
- [PyPi](https://pypi.org/project/pykeen) (📥 6.6K / month · 📦 6 · ⏱️ 19.02.2024):
```
pip install pykeen
```
pytorch_geometric_temporal (🥈25 · ⭐ 2.5K · 💤) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨💻 28 · 🔀 360 · 📋 190 - 15% open · ⏱️ 01.07.2023):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 1.8K / month · 📦 3 · ⏱️ 04.09.2022):
```
pip install torch-geometric-temporal
```
Paddle Graph Learning (🥈25 · ⭐ 1.6K · 💤) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PGL) (👨💻 31 · 🔀 310 · 📦 56 · 📋 210 - 26% open · ⏱️ 26.09.2023):
```
git clone https://github.com/PaddlePaddle/PGL
```
- [PyPi](https://pypi.org/project/pgl) (📥 930 / month · 📦 1 · ⏱️ 26.09.2023):
```
pip install pgl
```
PyTorch-BigGraph (🥈24 · ⭐ 3.4K) - Generate embeddings from large-scale graph-structured.. BSD-3
- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨💻 32 · 🔀 440 · 📥 180 · 📋 200 - 32% open · ⏱️ 03.03.2024):
```
git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
- [PyPi](https://pypi.org/project/torchbiggraph) (📥 560K / month · 📦 2 · ⏱️ 14.10.2019):
```
pip install torchbiggraph
```
Node2Vec (🥈24 · ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT
- [GitHub](https://github.com/eliorc/node2vec) (👨💻 15 · 🔀 230 · 📦 620 · 📋 92 - 5% open · ⏱️ 05.05.2024):
```
git clone https://github.com/eliorc/node2vec
```
- [PyPi](https://pypi.org/project/node2vec) (📥 25K / month · 📦 27 · ⏱️ 01.08.2022):
```
pip install node2vec
```
- [Conda](https://anaconda.org/conda-forge/node2vec) (📥 28K · ⏱️ 16.06.2023):
```
conda install -c conda-forge node2vec
```
torch-cluster (🥉22 · ⭐ 770) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨💻 34 · 🔀 140 · 📋 160 - 17% open · ⏱️ 29.04.2024):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
- [PyPi](https://pypi.org/project/torch-cluster) (📥 14K / month · 📦 51 · ⏱️ 12.10.2023):
```
pip install torch-cluster
```
- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 120K · ⏱️ 17.05.2024):
```
conda install -c conda-forge pytorch_cluster
```
deepsnap (🥉20 · ⭐ 530 · 💤) - Python library assists deep learning on graphs. MIT
- [GitHub](https://github.com/snap-stanford/deepsnap) (👨💻 18 · 🔀 57 · 📥 10 · 📦 100 · 📋 50 - 50% open · ⏱️ 11.11.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
- [PyPi](https://pypi.org/project/deepsnap) (📥 380 / month · 📦 2 · ⏱️ 05.09.2021):
```
pip install deepsnap
```
Sematch (🥉18 · ⭐ 420 · 💤) - semantic similarity framework for knowledge graph. Apache-2
- [GitHub](https://github.com/gsi-upm/sematch) (👨💻 10 · 🔀 100 · 📦 46 · 📋 34 - 44% open · ⏱️ 07.11.2023):
```
git clone https://github.com/gsi-upm/sematch
```
- [PyPi](https://pypi.org/project/sematch) (📥 220 / month · ⏱️ 17.04.2017):
```
pip install sematch
```
kglib (🥉16 · ⭐ 550 · 💤) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
- [GitHub](https://github.com/vaticle/typedb-ml) (👨💻 12 · 🔀 98 · 📥 220 · 📋 63 - 19% open · ⏱️ 18.11.2023):
```
git clone https://github.com/vaticle/kglib
```
- [PyPi](https://pypi.org/project/grakn-kglib) (📥 77 / month · ⏱️ 19.08.2020):
```
pip install grakn-kglib
```
AutoGL (🥉15 · ⭐ 1.1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2
- [GitHub](https://github.com/THUMNLab/AutoGL) (👨💻 15 · 🔀 120 · 📋 39 - 35% open · ⏱️ 05.02.2024):
```
git clone https://github.com/THUMNLab/AutoGL
```
- [PyPi](https://pypi.org/project/auto-graph-learning) (⏱️ 23.12.2020):
```
pip install auto-graph-learning
```
OpenNE (🥉14 · ⭐ 1.7K) - An Open-Source Package for Network Embedding (NE). MIT
- [GitHub](https://github.com/thunlp/OpenNE) (👨💻 12 · 🔀 490 · 📋 110 - 9% open · ⏱️ 10.01.2024):
```
git clone https://github.com/thunlp/OpenNE
```
Show 18 hidden projects...
- igraph (🥇33 · ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0
- StellarGraph (🥈29 · ⭐ 2.9K · 💀) - StellarGraph - Machine Learning on Graphs. Apache-2
- pygal (🥈26 · ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0
- Karate Club (🥉23 · ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0
- jraph (🥉22 · ⭐ 1.3K · 💀) - A Graph Neural Network Library in Jax. Apache-2
- graph-nets (🥉21 · ⭐ 5.3K · 💀) - Build Graph Nets in Tensorflow. Apache-2
- DIG (🥉21 · ⭐ 1.8K) - A library for graph deep learning research. ❗️GPL-3.0
- graph4nlp (🥉21 · ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph.. Apache-2
- pyRDF2Vec (🥉21 · ⭐ 240 · 💤) - Python Implementation and Extension of RDF2Vec. MIT
- DeepWalk (🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0
- DeepGraph (🥉19 · ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3
- GraphGym (🥉18 · ⭐ 1.6K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
- GraphEmbedding (🥉16 · ⭐ 3.6K · 💀) - Implementation and experiments of graph embedding.. MIT
- Euler (🥉15 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework. Apache-2
- GraphSAGE (🥉14 · ⭐ 3.3K · 💀) - Representation learning on large graphs using stochastic.. MIT
- GraphVite (🥉14 · ⭐ 1.2K · 💀) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
- ptgnn (🥉14 · ⭐ 370 · 💀) - A PyTorch Graph Neural Network Library. MIT
- OpenKE (🥉13 · ⭐ 3.7K) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed
## Audio Data
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
speechbrain (🥇38 · ⭐ 8.1K) - A PyTorch-based Speech Toolkit. Apache-2
- [GitHub](https://github.com/speechbrain/speechbrain) (👨💻 240 · 🔀 1.3K · 📦 1.9K · 📋 1.1K - 12% open · ⏱️ 06.06.2024):
```
git clone https://github.com/speechbrain/speechbrain
```
- [PyPi](https://pypi.org/project/speechbrain) (📥 2.3M / month · 📦 31 · ⏱️ 26.02.2024):
```
pip install speechbrain
```
espnet (🥇37 · ⭐ 8K) - End-to-End Speech Processing Toolkit. Apache-2
- [GitHub](https://github.com/espnet/espnet) (👨💻 430 · 🔀 2.1K · 📥 79 · 📦 340 · 📋 2.4K - 13% open · ⏱️ 04.06.2024):
```
git clone https://github.com/espnet/espnet
```
- [PyPi](https://pypi.org/project/espnet) (📥 34K / month · 📦 12 · ⏱️ 06.02.2024):
```
pip install espnet
```
SpeechRecognition (🥇36 · ⭐ 8.1K) - Speech recognition module for Python, supporting several.. BSD-3
- [GitHub](https://github.com/Uberi/speech_recognition) (👨💻 50 · 🔀 2.4K · 📦 21 · 📋 640 - 50% open · ⏱️ 05.05.2024):
```
git clone https://github.com/Uberi/speech_recognition
```
- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 930K / month · 📦 500 · ⏱️ 05.05.2024):
```
pip install SpeechRecognition
```
- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 190K · ⏱️ 06.05.2024):
```
conda install -c conda-forge speechrecognition
```
Coqui TTS (🥈35 · ⭐ 31K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
- [GitHub](https://github.com/coqui-ai/TTS) (👨💻 160 · 🔀 3.6K · 📥 2.2M · 📦 1.3K · 📋 1K - 8% open · ⏱️ 10.02.2024):
```
git clone https://github.com/coqui-ai/TTS
```
- [PyPi](https://pypi.org/project/tts) (📥 120K / month · 📦 46 · ⏱️ 12.12.2023):
```
pip install tts
```
- [Conda](https://anaconda.org/conda-forge/tts) (📥 12K · ⏱️ 16.06.2023):
```
conda install -c conda-forge tts
```
torchaudio (🥈35 · ⭐ 2.4K) - Data manipulation and transformation for audio signal.. BSD-2
- [GitHub](https://github.com/pytorch/audio) (👨💻 220 · 🔀 630 · 📋 950 - 24% open · ⏱️ 14.05.2024):
```
git clone https://github.com/pytorch/audio
```
- [PyPi](https://pypi.org/project/torchaudio) (📥 4.9M / month · 📦 1.1K · ⏱️ 05.06.2024):
```
pip install torchaudio
```
librosa (🥈34 · ⭐ 6.8K) - Python library for audio and music analysis. ISC
- [GitHub](https://github.com/librosa/librosa) (👨💻 120 · 🔀 930 · 📋 1.2K - 4% open · ⏱️ 03.06.2024):
```
git clone https://github.com/librosa/librosa
```
- [PyPi](https://pypi.org/project/librosa) (📥 2.8M / month · 📦 1.2K · ⏱️ 14.05.2024):
```
pip install librosa
```
- [Conda](https://anaconda.org/conda-forge/librosa) (📥 750K · ⏱️ 15.05.2024):
```
conda install -c conda-forge librosa
```
Magenta (🥈32 · ⭐ 19K · 💤) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
- [GitHub](https://github.com/magenta/magenta) (👨💻 160 · 🔀 3.7K · 📦 510 · 📋 1K - 41% open · ⏱️ 11.07.2023):
```
git clone https://github.com/magenta/magenta
```
- [PyPi](https://pypi.org/project/magenta) (📥 4.4K / month · 📦 5 · ⏱️ 01.08.2022):
```
pip install magenta
```
spleeter (🥈30 · ⭐ 25K · 💤) - Deezer source separation library including pretrained models. MIT
- [GitHub](https://github.com/deezer/spleeter) (👨💻 19 · 🔀 2.7K · 📥 3.2M · 📦 720 · 📋 790 - 29% open · ⏱️ 13.07.2023):
```
git clone https://github.com/deezer/spleeter
```
- [PyPi](https://pypi.org/project/spleeter) (📥 15K / month · 📦 6 · ⏱️ 10.06.2022):
```
pip install spleeter
```
- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 83K · ⏱️ 16.06.2023):
```
conda install -c conda-forge spleeter
```
Porcupine (🥈29 · ⭐ 3.5K) - On-device wake word detection powered by deep learning. Apache-2
- [GitHub](https://github.com/Picovoice/porcupine) (👨💻 37 · 🔀 470 · 📦 28 · 📋 540 - 1% open · ⏱️ 18.04.2024):
```
git clone https://github.com/Picovoice/Porcupine
```
- [PyPi](https://pypi.org/project/pvporcupine) (📥 8K / month · 📦 15 · ⏱️ 30.01.2024):
```
pip install pvporcupine
```
audiomentations (🥈29 · ⭐ 1.7K) - A Python library for audio data augmentation. Inspired by.. MIT
- [GitHub](https://github.com/iver56/audiomentations) (👨💻 29 · 🔀 180 · 📦 490 · 📋 180 - 26% open · ⏱️ 29.04.2024):
```
git clone https://github.com/iver56/audiomentations
```
- [PyPi](https://pypi.org/project/audiomentations) (📥 21K / month · 📦 13 · ⏱️ 15.03.2024):
```
pip install audiomentations
```
audioread (🥈29 · ⭐ 480) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT
- [GitHub](https://github.com/beetbox/audioread) (👨💻 25 · 🔀 110 · 📦 21K · 📋 94 - 39% open · ⏱️ 15.12.2023):
```
git clone https://github.com/beetbox/audioread
```
- [PyPi](https://pypi.org/project/audioread) (📥 1.9M / month · 📦 120 · ⏱️ 27.09.2023):
```
pip install audioread
```
- [Conda](https://anaconda.org/conda-forge/audioread) (📥 780K · ⏱️ 30.09.2023):
```
conda install -c conda-forge audioread
```
pyAudioAnalysis (🥉28 · ⭐ 5.7K · 💤) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨💻 28 · 🔀 1.2K · 📦 460 · 📋 320 - 61% open · ⏱️ 22.10.2023):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 21K / month · 📦 12 · ⏱️ 07.02.2022):
```
pip install pyAudioAnalysis
```
Madmom (🥉26 · ⭐ 1.3K · 💤) - Python audio and music signal processing library. BSD-3
- [GitHub](https://github.com/CPJKU/madmom) (👨💻 20 · 🔀 200 · 📦 420 · 📋 280 - 23% open · ⏱️ 10.09.2023):
```
git clone https://github.com/CPJKU/madmom
```
- [PyPi](https://pypi.org/project/madmom) (📥 1.9K / month · 📦 27 · ⏱️ 14.11.2018):
```
pip install madmom
```
DDSP (🥉25 · ⭐ 2.8K · 💤) - DDSP: Differentiable Digital Signal Processing. Apache-2
- [GitHub](https://github.com/magenta/ddsp) (👨💻 32 · 🔀 320 · 📦 54 · 📋 170 - 28% open · ⏱️ 30.06.2023):
```
git clone https://github.com/magenta/ddsp
```
- [PyPi](https://pypi.org/project/ddsp) (📥 1.5K / month · 📦 1 · ⏱️ 25.05.2022):
```
pip install ddsp
```
- [Conda](https://anaconda.org/conda-forge/ddsp) (📥 16K · ⏱️ 16.06.2023):
```
conda install -c conda-forge ddsp
```
tinytag (🥉25 · ⭐ 670) - Python library for reading audio file metadata, duration of MP3, OGG,.. MIT
- [GitHub](https://github.com/devsnd/tinytag) (👨💻 27 · 🔀 100 · 📋 120 - 12% open · ⏱️ 05.06.2024):
```
git clone https://github.com/devsnd/tinytag
```
- [PyPi](https://pypi.org/project/tinytag) (📥 25K / month · 📦 100 · ⏱️ 26.10.2023):
```
pip install tinytag
```
python-soundfile (🥉25 · ⭐ 670) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
- [GitHub](https://github.com/bastibe/python-soundfile) (👨💻 33 · 🔀 100 · 📥 19K · 📋 250 - 46% open · ⏱️ 05.01.2024):
```
git clone https://github.com/bastibe/python-soundfile
```
- [PyPi](https://pypi.org/project/soundfile) (📥 3.2M / month · 📦 620 · ⏱️ 15.02.2023):
```
pip install soundfile
```
- [Conda](https://anaconda.org/anaconda/pysoundfile):
```
conda install -c anaconda pysoundfile
```
nnAudio (🥉22 · ⭐ 970) - Audio processing by using pytorch 1D convolution network. MIT
- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨💻 15 · 🔀 90 · 📦 180 · 📋 62 - 29% open · ⏱️ 13.02.2024):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
- [PyPi](https://pypi.org/project/nnAudio) (📥 11K / month · 📦 4 · ⏱️ 13.02.2024):
```
pip install nnAudio
```
textlesslib (🥉10 · ⭐ 510 · 💤) - Library for Textless Spoken Language Processing. MIT
- [GitHub](https://github.com/facebookresearch/textlesslib) (👨💻 8 · 🔀 51 · 📋 25 - 56% open · ⏱️ 29.08.2023):
```
git clone https://github.com/facebookresearch/textlesslib
```
Show 11 hidden projects...
- Pydub (🥈35 · ⭐ 8.5K · 💀) - Manipulate audio with a simple and easy high level interface. MIT
- DeepSpeech (🥈33 · ⭐ 25K · 💀) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0
- aubio (🥉28 · ⭐ 3.2K) - a library for audio and music analysis. ❗️GPL-3.0
- Essentia (🥉28 · ⭐ 2.7K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0
- TTS (🥉26 · ⭐ 8.9K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
- python_speech_features (🥉24 · ⭐ 2.3K · 💀) - This library provides common speech features for ASR.. MIT
- Dejavu (🥉23 · ⭐ 6.3K · 💀) - Audio fingerprinting and recognition in Python. MIT
- kapre (🥉23 · ⭐ 920 · 💀) - kapre: Keras Audio Preprocessors. MIT
- Julius (🥉21 · ⭐ 410 · 💀) - Fast PyTorch based DSP for audio and 1D signals. MIT
- TimeSide (🥉20 · ⭐ 370 · 💀) - scalable audio processing framework and server written in.. ❗️AGPL-3.0
- Muda (🥉17 · ⭐ 230 · 💀) - A library for augmenting annotated audio data. ISC
## Geospatial Data
_Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._
pydeck (🥇43 · ⭐ 12K) - WebGL2 powered visualization framework. MIT
- [GitHub](https://github.com/visgl/deck.gl) (👨💻 260 · 🔀 2K · 📦 7.7K · 📋 3K - 10% open · ⏱️ 04.06.2024):
```
git clone https://github.com/visgl/deck.gl
```
- [PyPi](https://pypi.org/project/pydeck) (📥 3.7M / month · 📦 88 · ⏱️ 10.05.2024):
```
pip install pydeck
```
- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 530K · ⏱️ 16.06.2023):
```
conda install -c conda-forge pydeck
```
- [npm](https://www.npmjs.com/package/deck.gl) (📥 460K / month · 📦 290 · ⏱️ 29.05.2024):
```
npm install deck.gl
```
folium (🥇40 · ⭐ 6.7K) - Python Data. Leaflet.js Maps. MIT
- [GitHub](https://github.com/python-visualization/folium) (👨💻 170 · 🔀 2.2K · 📦 38K · 📋 1.1K - 7% open · ⏱️ 03.06.2024):
```
git clone https://github.com/python-visualization/folium
```
- [PyPi](https://pypi.org/project/folium) (📥 1.2M / month · 📦 660 · ⏱️ 29.02.2024):
```
pip install folium
```
- [Conda](https://anaconda.org/conda-forge/folium) (📥 2.8M · ⏱️ 29.02.2024):
```
conda install -c conda-forge folium
```
GeoPandas (🥇40 · ⭐ 4.3K) - Python tools for geographic data. BSD-3
- [GitHub](https://github.com/geopandas/geopandas) (👨💻 220 · 🔀 900 · 📥 2.5K · 📦 36K · 📋 1.7K - 26% open · ⏱️ 04.06.2024):
```
git clone https://github.com/geopandas/geopandas
```
- [PyPi](https://pypi.org/project/geopandas) (📥 6.1M / month · 📦 2.5K · ⏱️ 28.04.2024):
```
pip install geopandas
```
- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 3.7M · ⏱️ 28.04.2024):
```
conda install -c conda-forge geopandas
```
Shapely (🥈39 · ⭐ 3.7K) - Manipulation and analysis of geometric objects. BSD-3
- [GitHub](https://github.com/shapely/shapely) (👨💻 150 · 🔀 560 · 📥 3.3K · 📦 71K · 📋 1.2K - 22% open · ⏱️ 14.05.2024):
```
git clone https://github.com/shapely/shapely
```
- [PyPi](https://pypi.org/project/shapely) (📥 27M / month · 📦 2.5K · ⏱️ 16.04.2024):
```
pip install shapely
```
- [Conda](https://anaconda.org/conda-forge/shapely) (📥 9.4M · ⏱️ 16.05.2024):
```
conda install -c conda-forge shapely
```
Rasterio (🥈37 · ⭐ 2.2K) - Rasterio reads and writes geospatial raster datasets. BSD-3
- [GitHub](https://github.com/rasterio/rasterio) (👨💻 160 · 🔀 520 · 📥 860 · 📦 12K · 📋 1.8K - 8% open · ⏱️ 10.05.2024):
```
git clone https://github.com/rasterio/rasterio
```
- [PyPi](https://pypi.org/project/rasterio) (📥 2.8M / month · 📦 1.3K · ⏱️ 16.04.2024):
```
pip install rasterio
```
- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 3M · ⏱️ 06.06.2024):
```
conda install -c conda-forge rasterio
```
Fiona (🥈37 · ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3
- [GitHub](https://github.com/Toblerity/Fiona) (👨💻 74 · 🔀 200 · 📦 20K · 📋 790 - 4% open · ⏱️ 20.05.2024):
```
git clone https://github.com/Toblerity/Fiona
```
- [PyPi](https://pypi.org/project/fiona) (📥 6.1M / month · 📦 190 · ⏱️ 16.04.2024):
```
pip install fiona
```
- [Conda](https://anaconda.org/conda-forge/fiona) (📥 5.6M · ⏱️ 21.05.2024):
```
conda install -c conda-forge fiona
```
pyproj (🥈35 · ⭐ 1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
- [GitHub](https://github.com/pyproj4/pyproj) (👨💻 65 · 🔀 210 · 📦 31K · 📋 610 - 5% open · ⏱️ 02.06.2024):
```
git clone https://github.com/pyproj4/pyproj
```
- [PyPi](https://pypi.org/project/pyproj) (📥 8.5M / month · 📦 1.5K · ⏱️ 21.09.2023):
```
pip install pyproj
```
- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 7.7M · ⏱️ 01.05.2024):
```
conda install -c conda-forge pyproj
```
ArcGIS API (🥈34 · ⭐ 1.8K) - Documentation and samples for ArcGIS API for Python. Apache-2
- [GitHub](https://github.com/Esri/arcgis-python-api) (👨💻 91 · 🔀 1.1K · 📥 11K · 📦 760 · 📋 730 - 9% open · ⏱️ 22.05.2024):
```
git clone https://github.com/Esri/arcgis-python-api
```
- [PyPi](https://pypi.org/project/arcgis) (📥 68K / month · 📦 36 · ⏱️ 28.05.2024):
```
pip install arcgis
```
- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
```
docker pull esridocker/arcgis-api-python-notebook
```
ipyleaflet (🥈34 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT
- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨💻 88 · 🔀 360 · 📦 9.2K · 📋 630 - 43% open · ⏱️ 29.05.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
- [PyPi](https://pypi.org/project/ipyleaflet) (📥 140K / month · 📦 250 · ⏱️ 14.05.2024):
```
pip install ipyleaflet
```
- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.2M · ⏱️ 14.05.2024):
```
conda install -c conda-forge ipyleaflet
```
- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 11K / month · 📦 9 · ⏱️ 13.05.2024):
```
npm install jupyter-leaflet
```
geopy (🥉32 · ⭐ 4.3K · 💤) - Geocoding library for Python. MIT
- [GitHub](https://github.com/geopy/geopy) (👨💻 130 · 🔀 630 · 📥 48 · 📋 290 - 13% open · ⏱️ 23.11.2023):
```
git clone https://github.com/geopy/geopy
```
- [PyPi](https://pypi.org/project/geopy) (📥 5.2M / month · 📦 790 · ⏱️ 23.11.2023):
```
pip install geopy
```
- [Conda](https://anaconda.org/conda-forge/geopy) (📥 1.3M · ⏱️ 28.02.2024):
```
conda install -c conda-forge geopy
```
PySAL (🥉30 · ⭐ 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
- [GitHub](https://github.com/pysal/pysal) (👨💻 78 · 🔀 280 · 📦 1.5K · 📋 630 - 3% open · ⏱️ 15.03.2024):
```
git clone https://github.com/pysal/pysal
```
- [PyPi](https://pypi.org/project/pysal) (📥 29K / month · 📦 39 · ⏱️ 31.01.2024):
```
pip install pysal
```
- [Conda](https://anaconda.org/conda-forge/pysal) (📥 550K · ⏱️ 04.10.2023):
```
conda install -c conda-forge pysal
```
geojson (🥉29 · ⭐ 890) - Python bindings and utilities for GeoJSON. BSD-3
- [GitHub](https://github.com/jazzband/geojson) (👨💻 56 · 🔀 120 · 📦 17K · 📋 100 - 26% open · ⏱️ 25.03.2024):
```
git clone https://github.com/jazzband/geojson
```
- [PyPi](https://pypi.org/project/geojson) (📥 1.7M / month · 📦 660 · ⏱️ 05.11.2023):
```
pip install geojson
```
- [Conda](https://anaconda.org/conda-forge/geojson) (📥 810K · ⏱️ 06.11.2023):
```
conda install -c conda-forge geojson
```
GeoViews (🥉29 · ⭐ 570) - Simple, concise geographical visualization in Python. BSD-3
- [GitHub](https://github.com/holoviz/geoviews) (👨💻 32 · 🔀 75 · 📦 1K · 📋 340 - 31% open · ⏱️ 03.06.2024):
```
git clone https://github.com/holoviz/geoviews
```
- [PyPi](https://pypi.org/project/geoviews) (📥 13K / month · 📦 56 · ⏱️ 05.04.2024):
```
pip install geoviews
```
- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 220K · ⏱️ 05.04.2024):
```
conda install -c conda-forge geoviews
```
EarthPy (🥉27 · ⭐ 480 · 💤) - A package built to support working with spatial data using open.. BSD-3
- [GitHub](https://github.com/earthlab/earthpy) (👨💻 44 · 🔀 150 · 📦 330 · 📋 230 - 11% open · ⏱️ 23.08.2023):
```
git clone https://github.com/earthlab/earthpy
```
- [PyPi](https://pypi.org/project/earthpy) (📥 9.7K / month · 📦 17 · ⏱️ 01.10.2021):
```
pip install earthpy
```
- [Conda](https://anaconda.org/conda-forge/earthpy) (📥 77K · ⏱️ 16.06.2023):
```
conda install -c conda-forge earthpy
```
pymap3d (🥉25 · ⭐ 370) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
- [GitHub](https://github.com/geospace-code/pymap3d) (👨💻 18 · 🔀 85 · 📦 410 · 📋 56 - 12% open · ⏱️ 11.02.2024):
```
git clone https://github.com/geospace-code/pymap3d
```
- [PyPi](https://pypi.org/project/pymap3d) (📥 140K / month · 📦 43 · ⏱️ 11.02.2024):
```
pip install pymap3d
```
- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 72K · ⏱️ 11.02.2024):
```
conda install -c conda-forge pymap3d
```
Show 7 hidden projects...
- Geocoder (🥉33 · ⭐ 1.6K · 💀) - Python Geocoder. MIT
- Satpy (🥉32 · ⭐ 1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0
- Sentinelsat (🥉26 · ⭐ 960) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0
- Mapbox GL (🥉24 · ⭐ 660 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT
- prettymaps (🥉23 · ⭐ 11K · 💀) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0
- gmaps (🥉23 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3
- geoplotlib (🥉21 · ⭐ 1K · 💀) - python toolbox for visualizing geographical data and making maps. MIT
## Financial Data
_Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._
yfinance (🥇40 · ⭐ 12K) - Download market data from Yahoo! Finances API. Apache-2
- [GitHub](https://github.com/ranaroussi/yfinance) (👨💻 110 · 🔀 2.2K · 📦 39K · 📋 1.3K - 12% open · ⏱️ 04.06.2024):
```
git clone https://github.com/ranaroussi/yfinance
```
- [PyPi](https://pypi.org/project/yfinance) (📥 1.7M / month · 📦 560 · ⏱️ 19.05.2024):
```
pip install yfinance
```
- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 91K · ⏱️ 16.06.2023):
```
conda install -c ranaroussi yfinance
```
Qlib (🥇31 · ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
- [GitHub](https://github.com/microsoft/qlib) (👨💻 130 · 🔀 2.5K · 📥 580 · 📦 21 · 📋 910 - 24% open · ⏱️ 06.06.2024):
```
git clone https://github.com/microsoft/qlib
```
- [PyPi](https://pypi.org/project/pyqlib) (📥 3.9K / month · 📦 1 · ⏱️ 24.05.2024):
```
pip install pyqlib
```
ta (🥈30 · ⭐ 4.1K · 💤) - Technical Analysis Library using Pandas and Numpy. MIT
- [GitHub](https://github.com/bukosabino/ta) (👨💻 34 · 🔀 840 · 📦 3.5K · 📋 240 - 56% open · ⏱️ 02.11.2023):
```
git clone https://github.com/bukosabino/ta
```
- [PyPi](https://pypi.org/project/ta) (📥 130K / month · 📦 89 · ⏱️ 02.11.2023):
```
pip install ta
```
- [Conda](https://anaconda.org/conda-forge/ta) (📥 26K · ⏱️ 02.11.2023):
```
conda install -c conda-forge ta
```
ffn (🥈29 · ⭐ 1.8K) - ffn - a financial function library for Python. MIT
- [GitHub](https://github.com/pmorissette/ffn) (👨💻 33 · 🔀 280 · 📦 460 · 📋 120 - 17% open · ⏱️ 09.05.2024):
```
git clone https://github.com/pmorissette/ffn
```
- [PyPi](https://pypi.org/project/ffn) (📥 150K / month · 📦 16 · ⏱️ 31.12.2023):
```
pip install ffn
```
- [Conda](https://anaconda.org/conda-forge/ffn) (📥 7.6K · ⏱️ 31.12.2023):
```
conda install -c conda-forge ffn
```
Alpha Vantage (🥈28 · ⭐ 4.2K) - A python wrapper for Alpha Vantage API for financial data. MIT
- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨💻 43 · 🔀 720 · 📦 580 · 📋 290 - 2% open · ⏱️ 19.03.2024):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
- [PyPi](https://pypi.org/project/alpha_vantage) (📥 47K / month · 📦 33 · ⏱️ 21.12.2020):
```
pip install alpha_vantage
```
- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 6.8K · ⏱️ 16.06.2023):
```
conda install -c conda-forge alpha_vantage
```
TensorTrade (🥈27 · ⭐ 4.4K) - An open source reinforcement learning framework for training,.. Apache-2
- [GitHub](https://github.com/tensortrade-org/tensortrade) (👨💻 61 · 🔀 980 · 📦 56 · 📋 250 - 20% open · ⏱️ 27.05.2024):
```
git clone https://github.com/tensortrade-org/tensortrade
```
- [PyPi](https://pypi.org/project/tensortrade) (📥 790 / month · 📦 1 · ⏱️ 10.05.2021):
```
pip install tensortrade
```
- [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 3.5K · ⏱️ 16.06.2023):
```
conda install -c conda-forge tensortrade
```
bt (🥈27 · ⭐ 2.1K) - bt - flexible backtesting for Python. MIT
- [GitHub](https://github.com/pmorissette/bt) (👨💻 32 · 🔀 400 · 📦 1.6K · 📋 340 - 23% open · ⏱️ 04.04.2024):
```
git clone https://github.com/pmorissette/bt
```
- [PyPi](https://pypi.org/project/bt) (📥 7.1K / month · 📦 10 · ⏱️ 20.11.2023):
```
pip install bt
```
- [Conda](https://anaconda.org/conda-forge/bt) (📥 25K · ⏱️ 20.11.2023):
```
conda install -c conda-forge bt
```
IB-insync (🥉25 · ⭐ 2.7K) - Python sync/async framework for Interactive Brokers API. BSD-2
- [GitHub](https://github.com/erdewit/ib_insync) (👨💻 36 · 🔀 700 · 📋 590 - 3% open · ⏱️ 14.03.2024):
```
git clone https://github.com/erdewit/ib_insync
```
- [PyPi](https://pypi.org/project/ib_insync) (📥 33K / month · 📦 40 · ⏱️ 21.11.2022):
```
pip install ib_insync
```
- [Conda](https://anaconda.org/conda-forge/ib-insync) (📥 41K · ⏱️ 16.06.2023):
```
conda install -c conda-forge ib-insync
```
stockstats (🥉25 · ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
- [GitHub](https://github.com/jealous/stockstats) (👨💻 10 · 🔀 300 · 📦 1.1K · 📋 120 - 12% open · ⏱️ 05.01.2024):
```
git clone https://github.com/jealous/stockstats
```
- [PyPi](https://pypi.org/project/stockstats) (📥 10K / month · 📦 11 · ⏱️ 30.07.2023):
```
pip install stockstats
```
finmarketpy (🥉23 · ⭐ 3.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2
- [GitHub](https://github.com/cuemacro/finmarketpy) (👨💻 14 · 🔀 490 · 📥 51 · 📦 13 · 📋 28 - 85% open · ⏱️ 19.05.2024):
```
git clone https://github.com/cuemacro/finmarketpy
```
- [PyPi](https://pypi.org/project/finmarketpy) (📥 360 / month · ⏱️ 19.05.2024):
```
pip install finmarketpy
```
FinQuant (🥉22 · ⭐ 1.3K · 💤) - A program for financial portfolio management, analysis and.. MIT
- [GitHub](https://github.com/fmilthaler/FinQuant) (👨💻 11 · 🔀 180 · 📦 92 · 📋 48 - 33% open · ⏱️ 03.09.2023):
```
git clone https://github.com/fmilthaler/FinQuant
```
- [PyPi](https://pypi.org/project/FinQuant) (📥 590 / month · 📦 1 · ⏱️ 04.09.2023):
```
pip install FinQuant
```
tf-quant-finance (🥉21 · ⭐ 4.3K · 💤) - High-performance TensorFlow library for quantitative.. Apache-2
- [GitHub](https://github.com/google/tf-quant-finance) (👨💻 47 · 🔀 540 · 📋 65 - 56% open · ⏱️ 15.08.2023):
```
git clone https://github.com/google/tf-quant-finance
```
- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 530 / month · 📦 2 · ⏱️ 19.08.2022):
```
pip install tf-quant-finance
```
Show 13 hidden projects...
- zipline (🥇32 · ⭐ 17K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
- pyfolio (🥇31 · ⭐ 5.5K · 💀) - Portfolio and risk analytics in Python. Apache-2
- arch (🥇31 · ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed
- backtrader (🥈29 · ⭐ 13K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0
- empyrical (🥈27 · ⭐ 1.2K · 💀) - Common financial risk and performance metrics. Used by.. Apache-2
- Alphalens (🥉26 · ⭐ 3.1K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2
- Enigma Catalyst (🥉25 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
- FinTA (🥉24 · ⭐ 2.1K · 💀) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0
- PyAlgoTrade (🥉23 · ⭐ 4.3K · 💀) - Python Algorithmic Trading Library. Apache-2
- Backtesting.py (🥉22 · ⭐ 4.9K · 💀) - Backtest trading strategies in Python. ❗️AGPL-3.0
- Crypto Signals (🥉22 · ⭐ 4.8K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
- surpriver (🥉12 · ⭐ 1.7K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0
- pyrtfolio (🥉8 · ⭐ 140 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0
## Time Series Data
_Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._
sktime (🥇39 · ⭐ 7.5K) - A unified framework for machine learning with time series. BSD-3
- [GitHub](https://github.com/sktime/sktime) (👨💻 360 · 🔀 1.3K · 📥 91 · 📦 2.8K · 📋 2.3K - 35% open · ⏱️ 05.06.2024):
```
git clone https://github.com/alan-turing-institute/sktime
```
- [PyPi](https://pypi.org/project/sktime) (📥 800K / month · 📦 120 · ⏱️ 04.06.2024):
```
pip install sktime
```
- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 960K · ⏱️ 05.06.2024):
```
conda install -c conda-forge sktime-all-extras
```
Prophet (🥇34 · ⭐ 18K) - Tool for producing high quality forecasts for time series data that has.. MIT
- [GitHub](https://github.com/facebook/prophet) (👨💻 180 · 🔀 4.5K · 📥 2.5K · 📦 21 · 📋 2.1K - 18% open · ⏱️ 18.05.2024):
```
git clone https://github.com/facebook/prophet
```
- [PyPi](https://pypi.org/project/fbprophet) (📥 830K / month · 📦 89 · ⏱️ 05.09.2020):
```
pip install fbprophet
```
- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.2M · ⏱️ 20.10.2023):
```
conda install -c conda-forge prophet
```
StatsForecast (🥇34 · ⭐ 3.6K) - Lightning fast forecasting with statistical and econometric.. Apache-2
- [GitHub](https://github.com/Nixtla/statsforecast) (👨💻 41 · 🔀 250 · 📦 920 · 📋 320 - 30% open · ⏱️ 30.05.2024):
```
git clone https://github.com/Nixtla/statsforecast
```
- [PyPi](https://pypi.org/project/statsforecast) (📥 590K / month · 📦 55 · ⏱️ 24.05.2024):
```
pip install statsforecast
```
- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 71K · ⏱️ 24.05.2024):
```
conda install -c conda-forge statsforecast
```
Darts (🥈33 · ⭐ 7.4K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
- [GitHub](https://github.com/unit8co/darts) (👨💻 120 · 🔀 800 · 📦 630 · 📋 1.4K - 18% open · ⏱️ 05.06.2024):
```
git clone https://github.com/unit8co/darts
```
- [PyPi](https://pypi.org/project/u8darts) (📥 24K / month · 📦 6 · ⏱️ 17.04.2024):
```
pip install u8darts
```
- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 46K · ⏱️ 18.04.2024):
```
conda install -c conda-forge u8darts-all
```
- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 590 · ⏱️ 17.04.2024):
```
docker pull unit8/darts
```
tsfresh (🥈32 · ⭐ 8.2K) - Automatic extraction of relevant features from time series:. MIT
- [GitHub](https://github.com/blue-yonder/tsfresh) (👨💻 94 · 🔀 1.2K · 📦 21 · 📋 540 - 12% open · ⏱️ 26.05.2024):
```
git clone https://github.com/blue-yonder/tsfresh
```
- [PyPi](https://pypi.org/project/tsfresh) (📥 250K / month · 📦 75 · ⏱️ 28.01.2024):
```
pip install tsfresh
```
- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.4M · ⏱️ 28.01.2024):
```
conda install -c conda-forge tsfresh
```
pmdarima (🥈32 · ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT
- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨💻 23 · 🔀 230 · 📦 8.3K · 📋 330 - 17% open · ⏱️ 23.02.2024):
```
git clone https://github.com/alkaline-ml/pmdarima
```
- [PyPi](https://pypi.org/project/pmdarima) (📥 2.4M / month · 📦 140 · ⏱️ 23.10.2023):
```
pip install pmdarima
```
- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 1.1M · ⏱️ 19.04.2024):
```
conda install -c conda-forge pmdarima
```
STUMPY (🥈31 · ⭐ 3K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨💻 38 · 🔀 280 · 📦 770 · 📋 480 - 11% open · ⏱️ 01.06.2024):
```
git clone https://github.com/TDAmeritrade/stumpy
```
- [PyPi](https://pypi.org/project/stumpy) (📥 240K / month · 📦 23 · ⏱️ 21.08.2023):
```
pip install stumpy
```
- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 990K · ⏱️ 21.08.2023):
```
conda install -c conda-forge stumpy
```
GluonTS (🥈30 · ⭐ 4.4K) - Probabilistic time series modeling in Python. Apache-2
- [GitHub](https://github.com/awslabs/gluonts) (👨💻 110 · 🔀 740 · 📋 940 - 33% open · ⏱️ 31.05.2024):
```
git clone https://github.com/awslabs/gluon-ts
```
- [PyPi](https://pypi.org/project/gluonts) (📥 240K / month · 📦 27 · ⏱️ 03.06.2024):
```
pip install gluonts
```
- [Conda](https://anaconda.org/anaconda/gluonts) (📥 770 · ⏱️ 22.12.2023):
```
conda install -c anaconda gluonts
```
NeuralProphet (🥈30 · ⭐ 3.7K) - NeuralProphet: A simple forecasting package. MIT
- [GitHub](https://github.com/ourownstory/neural_prophet) (👨💻 53 · 🔀 460 · 📦 450 · 📋 520 - 8% open · ⏱️ 15.03.2024):
```
git clone https://github.com/ourownstory/neural_prophet
```
- [PyPi](https://pypi.org/project/neuralprophet) (📥 180K / month · 📦 5 · ⏱️ 23.02.2024):
```
pip install neuralprophet
```
tslearn (🥈30 · ⭐ 2.8K) - The machine learning toolkit for time series analysis in Python. BSD-2
- [GitHub](https://github.com/tslearn-team/tslearn) (👨💻 43 · 🔀 320 · 📦 1.3K · 📋 320 - 39% open · ⏱️ 20.03.2024):
```
git clone https://github.com/tslearn-team/tslearn
```
- [PyPi](https://pypi.org/project/tslearn) (📥 390K / month · 📦 71 · ⏱️ 12.12.2023):
```
pip install tslearn
```
- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.3M · ⏱️ 04.02.2024):
```
conda install -c conda-forge tslearn
```
NeuralForecast (🥈30 · ⭐ 2.6K) - Scalable and user friendly neural forecasting algorithms. Apache-2
- [GitHub](https://github.com/Nixtla/neuralforecast) (👨💻 45 · 🔀 300 · 📦 160 · 📋 470 - 20% open · ⏱️ 30.05.2024):
```
git clone https://github.com/Nixtla/neuralforecast
```
- [PyPi](https://pypi.org/project/neuralforecast) (📥 43K / month · 📦 16 · ⏱️ 07.05.2024):
```
pip install neuralforecast
```
- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 16K · ⏱️ 08.05.2024):
```
conda install -c conda-forge neuralforecast
```
skforecast (🥈28 · ⭐ 980) - Time series forecasting with scikit-learn models. BSD-3
- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (👨💻 13 · 🔀 110 · 📦 270 · 📋 140 - 17% open · ⏱️ 30.05.2024):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
- [PyPi](https://pypi.org/project/skforecast) (📥 48K / month · 📦 12 · ⏱️ 20.05.2024):
```
pip install skforecast
```
pytorch-forecasting (🥉27 · ⭐ 3.7K) - Time series forecasting with PyTorch. MIT
- [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨💻 45 · 🔀 580 · 📋 760 - 62% open · ⏱️ 15.03.2024):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 53K / month · 📦 16 · ⏱️ 26.07.2020):
```
pip install pytorch-forecasting
```
- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 58K · ⏱️ 16.06.2023):
```
conda install -c conda-forge pytorch-forecasting
```
uber/orbit (🥉26 · ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
- [GitHub](https://github.com/uber/orbit) (👨💻 20 · 🔀 140 · 📦 57 · 📋 400 - 12% open · ⏱️ 31.03.2024):
```
git clone https://github.com/uber/orbit
```
- [PyPi](https://pypi.org/project/orbit-ml) (📥 21K / month · 📦 1 · ⏱️ 01.04.2024):
```
pip install orbit-ml
```
- [Conda](https://anaconda.org/conda-forge/orbit-ml) (📥 7.8K · ⏱️ 01.04.2024):
```
conda install -c conda-forge orbit-ml
```
pyts (🥉26 · ⭐ 1.7K · 💤) - A Python package for time series classification. BSD-3
- [GitHub](https://github.com/johannfaouzi/pyts) (👨💻 14 · 🔀 160 · 📦 610 · 📋 78 - 55% open · ⏱️ 20.06.2023):
```
git clone https://github.com/johannfaouzi/pyts
```
- [PyPi](https://pypi.org/project/pyts) (📥 170K / month · 📦 19 · ⏱️ 31.10.2021):
```
pip install pyts
```
- [Conda](https://anaconda.org/conda-forge/pyts) (📥 24K · ⏱️ 18.06.2023):
```
conda install -c conda-forge pyts
```
TSFEL (🥉24 · ⭐ 870) - An intuitive library to extract features from time series. BSD-3
- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨💻 20 · 🔀 130 · 📦 130 · 📋 69 - 4% open · ⏱️ 14.05.2024):
```
git clone https://github.com/fraunhoferportugal/tsfel
```
- [PyPi](https://pypi.org/project/tsfel) (📥 23K / month · 📦 3 · ⏱️ 27.03.2024):
```
pip install tsfel
```
greykite (🥉22 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2
- [GitHub](https://github.com/linkedin/greykite) (👨💻 10 · 🔀 100 · 📥 26 · 📦 30 · 📋 110 - 26% open · ⏱️ 16.01.2024):
```
git clone https://github.com/linkedin/greykite
```
- [PyPi](https://pypi.org/project/greykite) (📥 11K / month · ⏱️ 12.01.2024):
```
pip install greykite
```
Auto TS (🥉20 · ⭐ 690) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
- [GitHub](https://github.com/AutoViML/Auto_TS) (👨💻 13 · 🔀 110 · 📋 88 - 1% open · ⏱️ 05.05.2024):
```
git clone https://github.com/AutoViML/Auto_TS
```
- [PyPi](https://pypi.org/project/auto-ts) (📥 12K / month · ⏱️ 05.05.2024):
```
pip install auto-ts
```
tsflex (🥉20 · ⭐ 380) - Flexible time series feature extraction & processing. MIT
- [GitHub](https://github.com/predict-idlab/tsflex) (👨💻 6 · 🔀 25 · 📦 13 · 📋 52 - 57% open · ⏱️ 05.06.2024):
```
git clone https://github.com/predict-idlab/tsflex
```
- [PyPi](https://pypi.org/project/tsflex) (📥 320 / month · 📦 1 · ⏱️ 04.04.2024):
```
pip install tsflex
```
- [Conda](https://anaconda.org/conda-forge/tsflex) (📥 22K · ⏱️ 08.04.2024):
```
conda install -c conda-forge tsflex
```
pydlm (🥉19 · ⭐ 470 · 💤) - A python library for Bayesian time series modeling. BSD-3
- [GitHub](https://github.com/wwrechard/pydlm) (👨💻 6 · 🔀 97 · 📦 33 · 📋 49 - 75% open · ⏱️ 04.09.2023):
```
git clone https://github.com/wwrechard/pydlm
```
- [PyPi](https://pypi.org/project/pydlm) (📥 22K / month · 📦 2 · ⏱️ 19.12.2018):
```
pip install pydlm
```
Show 10 hidden projects...
- Streamz (🥉26 · ⭐ 1.2K · 💀) - Real-time stream processing for python. BSD-3
- PyFlux (🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python. BSD-3
- luminol (🥉22 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library. Apache-2
- tick (🥉22 · ⭐ 470 · 💀) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
- seglearn (🥉21 · ⭐ 570 · 💀) - Python module for machine learning time series:. BSD-3
- ADTK (🥉20 · ⭐ 1K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
- matrixprofile-ts (🥉19 · ⭐ 730 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2
- atspy (🥉14 · ⭐ 510 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
- tsaug (🥉14 · ⭐ 340 · 💀) - A Python package for time series augmentation. Apache-2
- tslumen (🥉8 · ⭐ 67 · 💀) - A library for Time Series EDA (exploratory data analysis). Apache-2
## Medical Data
_Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
MNE (🥇39 · ⭐ 2.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
- [GitHub](https://github.com/mne-tools/mne-python) (👨💻 370 · 🔀 1.3K · 📦 3.9K · 📋 4.8K - 10% open · ⏱️ 05.06.2024):
```
git clone https://github.com/mne-tools/mne-python
```
- [PyPi](https://pypi.org/project/mne) (📥 120K / month · 📦 350 · ⏱️ 19.04.2024):
```
pip install mne
```
- [Conda](https://anaconda.org/conda-forge/mne) (📥 370K · ⏱️ 26.05.2024):
```
conda install -c conda-forge mne
```
Nilearn (🥇37 · ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3
- [GitHub](https://github.com/nilearn/nilearn) (👨💻 240 · 🔀 550 · 📥 170 · 📦 3.2K · 📋 2.1K - 14% open · ⏱️ 05.06.2024):
```
git clone https://github.com/nilearn/nilearn
```
- [PyPi](https://pypi.org/project/nilearn) (📥 60K / month · 📦 280 · ⏱️ 09.04.2024):
```
pip install nilearn
```
- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 270K · ⏱️ 09.04.2024):
```
conda install -c conda-forge nilearn
```
MONAI (🥈36 · ⭐ 5.4K) - AI Toolkit for Healthcare Imaging. Apache-2
- [GitHub](https://github.com/Project-MONAI/MONAI) (👨💻 190 · 🔀 980 · 📦 2.3K · 📋 3K - 11% open · ⏱️ 31.05.2024):
```
git clone https://github.com/Project-MONAI/MONAI
```
- [PyPi](https://pypi.org/project/monai) (📥 150K / month · 📦 97 · ⏱️ 21.05.2024):
```
pip install monai
```
- [Conda](https://anaconda.org/conda-forge/monai) (📥 24K · ⏱️ 21.05.2024):
```
conda install -c conda-forge monai
```
NiBabel (🥈36 · ⭐ 630) - Python package to access a cacophony of neuro-imaging file formats. MIT
- [GitHub](https://github.com/nipy/nibabel) (👨💻 100 · 🔀 260 · 📦 19K · 📋 530 - 24% open · ⏱️ 29.05.2024):
```
git clone https://github.com/nipy/nibabel
```
- [PyPi](https://pypi.org/project/nibabel) (📥 500K / month · 📦 1K · ⏱️ 27.02.2024):
```
pip install nibabel
```
- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 710K · ⏱️ 27.02.2024):
```
conda install -c conda-forge nibabel
```
NIPYPE (🥈35 · ⭐ 740) - Workflows and interfaces for neuroimaging packages. Apache-2
- [GitHub](https://github.com/nipy/nipype) (👨💻 260 · 🔀 510 · 📦 4.4K · 📋 1.4K - 29% open · ⏱️ 30.05.2024):
```
git clone https://github.com/nipy/nipype
```
- [PyPi](https://pypi.org/project/nipype) (📥 170K / month · 📦 140 · ⏱️ 06.04.2023):
```
pip install nipype
```
- [Conda](https://anaconda.org/conda-forge/nipype) (📥 620K · ⏱️ 22.09.2023):
```
conda install -c conda-forge nipype
```
Lifelines (🥈32 · ⭐ 2.3K) - Survival analysis in Python. MIT
- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨💻 120 · 🔀 580 · 📦 2.5K · 📋 950 - 26% open · ⏱️ 07.03.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
- [PyPi](https://pypi.org/project/lifelines) (📥 550K / month · 📦 130 · ⏱️ 03.01.2024):
```
pip install lifelines
```
- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 340K · ⏱️ 13.09.2023):
```
conda install -c conda-forge lifelines
```
Hail (🥈32 · ⭐ 950) - Cloud-native genomic dataframes and batch computing. MIT
- [GitHub](https://github.com/hail-is/hail) (👨💻 92 · 🔀 240 · 📦 130 · 📋 2.4K - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/hail-is/hail
```
- [PyPi](https://pypi.org/project/hail) (📥 19K / month · 📦 30 · ⏱️ 05.06.2024):
```
pip install hail
```
DeepVariant (🥉25 · ⭐ 3.1K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
- [GitHub](https://github.com/google/deepvariant) (👨💻 30 · 🔀 690 · 📥 4.7K · 📋 760 - 0% open · ⏱️ 18.03.2024):
```
git clone https://github.com/google/deepvariant
```
- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 65K · ⏱️ 16.06.2023):
```
conda install -c bioconda deepvariant
```
Brainiak (🥉18 · ⭐ 320 · 💤) - Brain Imaging Analysis Kit. Apache-2
- [GitHub](https://github.com/brainiak/brainiak) (👨💻 35 · 🔀 130 · 📋 210 - 38% open · ⏱️ 27.11.2023):
```
git clone https://github.com/brainiak/brainiak
```
- [PyPi](https://pypi.org/project/brainiak) (📥 100 / month · ⏱️ 15.10.2020):
```
pip install brainiak
```
- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 1.8K · ⭐ 1 · ⏱️ 15.10.2020):
```
docker pull brainiak/brainiak
```
Show 10 hidden projects...
- DIPY (🥈33 · ⭐ 680) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. ❗Unlicensed
- NiftyNet (🥉24 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2
- MedPy (🥉24 · ⭐ 560) - Medical image processing in Python. ❗️GPL-3.0
- NIPY (🥉22 · ⭐ 370) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed
- Glow (🥉22 · ⭐ 260) - An open-source toolkit for large-scale genomic analysis. Apache-2
- DLTK (🥉20 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2
- MedicalTorch (🥉16 · ⭐ 840 · 💀) - A medical imaging framework for Pytorch. Apache-2
- Medical Detection Toolkit (🥉15 · ⭐ 1.3K · 💀) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2
- DeepNeuro (🥉13 · ⭐ 120 · 💀) - A deep learning python package for neuroimaging data. Made by:. MIT
- MedicalNet (🥉12 · ⭐ 1.9K · 💀) - Many studies have shown that the performance on deep learning is.. MIT
## Tabular Data
_Libraries for processing tabular and structured data._
pytorch_tabular (🥇23 · ⭐ 1.2K) - A standard framework for modelling Deep Learning Models.. MIT
- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨💻 21 · 🔀 130 · 📥 27 · 📋 140 - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/manujosephv/pytorch_tabular
```
- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 5.4K / month · 📦 2 · ⏱️ 15.01.2024):
```
pip install pytorch_tabular
```
miceforest (🥈22 · ⭐ 320) - Multiple Imputation with LightGBM in Python. MIT
- [GitHub](https://github.com/AnotherSamWilson/miceforest) (👨💻 8 · 🔀 27 · 📦 140 · 📋 82 - 26% open · ⏱️ 27.04.2024):
```
git clone https://github.com/AnotherSamWilson/miceforest
```
- [PyPi](https://pypi.org/project/miceforest) (📥 46K / month · 📦 5 · ⏱️ 16.11.2023):
```
pip install miceforest
```
- [Conda](https://anaconda.org/conda-forge/miceforest) (📥 13K · ⏱️ 16.06.2023):
```
conda install -c conda-forge miceforest
```
carefree-learn (🥉17 · ⭐ 400) - Deep Learning PyTorch. MIT
- [GitHub](https://github.com/carefree0910/carefree-learn) (👨💻 1 · 🔀 38 · 📦 5 · 📋 82 - 2% open · ⏱️ 18.03.2024):
```
git clone https://github.com/carefree0910/carefree-learn
```
- [PyPi](https://pypi.org/project/carefree-learn) (📥 400 / month · ⏱️ 09.01.2024):
```
pip install carefree-learn
```
Show 2 hidden projects...
- upgini (🥉21 · ⭐ 300) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
- deltapy (🥉12 · ⭐ 530 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
## Optical Character Recognition
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
PaddleOCR (🥇40 · ⭐ 39K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨💻 200 · 🔀 7.3K · 📦 2.7K · 📋 9.2K - 5% open · ⏱️ 06.06.2024):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
- [PyPi](https://pypi.org/project/paddleocr) (📥 190K / month · 📦 65 · ⏱️ 29.03.2024):
```
pip install paddleocr
```
EasyOCR (🥇35 · ⭐ 22K · 💤) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨💻 130 · 🔀 3K · 📥 11M · 📦 6.7K · 📋 980 - 40% open · ⏱️ 04.09.2023):
```
git clone https://github.com/JaidedAI/EasyOCR
```
- [PyPi](https://pypi.org/project/easyocr) (📥 270K / month · 📦 180 · ⏱️ 04.09.2023):
```
pip install easyocr
```
OCRmyPDF (🥇35 · ⭐ 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨💻 96 · 🔀 910 · 📥 3.6K · 📦 840 · 📋 1.1K - 9% open · ⏱️ 01.06.2024):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
- [PyPi](https://pypi.org/project/ocrmypdf) (📥 93K / month · 📦 25 · ⏱️ 21.05.2024):
```
pip install ocrmypdf
```
- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 67K · ⏱️ 16.06.2023):
```
conda install -c conda-forge ocrmypdf
```
tesserocr (🥈32 · ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT
- [GitHub](https://github.com/sirfz/tesserocr) (👨💻 30 · 🔀 250 · 📥 250 · 📦 990 · 📋 280 - 18% open · ⏱️ 27.04.2024):
```
git clone https://github.com/sirfz/tesserocr
```
- [PyPi](https://pypi.org/project/tesserocr) (📥 66K / month · 📦 34 · ⏱️ 27.04.2024):
```
pip install tesserocr
```
- [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 140K · ⏱️ 16.06.2023):
```
conda install -c conda-forge tesserocr
```
Tesseract (🥈30 · ⭐ 5.6K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
- [GitHub](https://github.com/madmaze/pytesseract) (👨💻 49 · 🔀 700 · 📋 360 - 3% open · ⏱️ 08.05.2024):
```
git clone https://github.com/madmaze/pytesseract
```
- [PyPi](https://pypi.org/project/pytesseract) (📥 2.1M / month · 📦 850 · ⏱️ 16.08.2022):
```
pip install pytesseract
```
- [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 610K · ⏱️ 15.10.2023):
```
conda install -c conda-forge pytesseract
```
MMOCR (🥉26 · ⭐ 4.1K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
- [GitHub](https://github.com/open-mmlab/mmocr) (👨💻 90 · 🔀 720 · 📦 130 · 📋 910 - 18% open · ⏱️ 23.04.2024):
```
git clone https://github.com/open-mmlab/mmocr
```
- [PyPi](https://pypi.org/project/mmocr) (📥 6K / month · 📦 3 · ⏱️ 05.05.2022):
```
pip install mmocr
```
keras-ocr (🥉26 · ⭐ 1.3K · 💤) - A packaged and flexible version of the CRAFT text detector.. MIT
- [GitHub](https://github.com/faustomorales/keras-ocr) (👨💻 18 · 🔀 330 · 📥 1.3M · 📦 480 · 📋 210 - 46% open · ⏱️ 06.11.2023):
```
git clone https://github.com/faustomorales/keras-ocr
```
- [PyPi](https://pypi.org/project/keras-ocr) (📥 48K / month · 📦 8 · ⏱️ 06.11.2023):
```
pip install keras-ocr
```
- [Conda](https://anaconda.org/anaconda/keras-ocr) (📥 310 · ⏱️ 16.06.2023):
```
conda install -c anaconda keras-ocr
```
calamari (🥉21 · ⭐ 1K · 💤) - Line based ATR Engine based on OCRopy. Apache-2
- [GitHub](https://github.com/Calamari-OCR/calamari) (👨💻 20 · 🔀 210 · 📋 270 - 23% open · ⏱️ 18.08.2023):
```
git clone https://github.com/Calamari-OCR/calamari
```
- [PyPi](https://pypi.org/project/calamari_ocr) (📥 2.4K / month · 📦 5 · ⏱️ 18.08.2023):
```
pip install calamari_ocr
```
attention-ocr (🥉20 · ⭐ 1.1K · 💤) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT
- [GitHub](https://github.com/emedvedev/attention-ocr) (👨💻 28 · 🔀 250 · 📦 28 · 📋 150 - 16% open · ⏱️ 20.10.2023):
```
git clone https://github.com/emedvedev/attention-ocr
```
- [PyPi](https://pypi.org/project/aocr) (📥 130 / month · ⏱️ 19.04.2019):
```
pip install aocr
```
Show 3 hidden projects...
- pdftabextract (🥉22 · ⭐ 2.2K · 💀) - A set of tools for extracting tables from PDF files.. Apache-2
- doc2text (🥉20 · ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT
- Mozart (🥉10 · ⭐ 580 · 💀) - An optical music recognition (OMR) system. Converts sheet.. Apache-2
## Data Containers & Structures
_General-purpose data containers & structures as well as utilities & extensions for pandas._
🔗 best-of-python - Data Containers ( ⭐ 3.5K) - Collection of data-container, dataframe, and pandas-..
## Data Loading & Extraction
_Libraries for loading, collecting, and extracting data from a variety of data sources and formats._
🔗 best-of-python - Data Extraction ( ⭐ 3.5K) - Collection of data-loading and -extraction libraries.
## Web Scraping & Crawling
_Libraries for web scraping, crawling, downloading, and mining as well as libraries._
🔗 best-of-web-python - Web Scraping ( ⭐ 2.2K) - Collection of web-scraping and crawling libraries.
## Data Pipelines & Streaming
_Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._
🔗 best-of-python - Data Pipelines ( ⭐ 3.5K) - Libraries for data batch- and stream-processing,..
## Distributed Machine Learning
_Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._
Ray (🥇44 · ⭐ 32K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
- [GitHub](https://github.com/ray-project/ray) (👨💻 1K · 🔀 5.3K · 📥 210 · 📦 16K · 📋 18K - 20% open · ⏱️ 06.06.2024):
```
git clone https://github.com/ray-project/ray
```
- [PyPi](https://pypi.org/project/ray) (📥 4M / month · 📦 700 · ⏱️ 22.05.2024):
```
pip install ray
```
- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 230K · ⏱️ 29.05.2024):
```
conda install -c conda-forge ray-tune
```
dask (🥇44 · ⭐ 12K) - Parallel computing with task scheduling. BSD-3
- [GitHub](https://github.com/dask/dask) (👨💻 600 · 🔀 1.7K · 📦 61K · 📋 5.2K - 20% open · ⏱️ 05.06.2024):
```
git clone https://github.com/dask/dask
```
- [PyPi](https://pypi.org/project/dask) (📥 8.9M / month · 📦 2.1K · ⏱️ 31.05.2024):
```
pip install dask
```
- [Conda](https://anaconda.org/conda-forge/dask) (📥 11M · ⏱️ 31.05.2024):
```
conda install -c conda-forge dask
```
DeepSpeed (🥇41 · ⭐ 33K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
- [GitHub](https://github.com/microsoft/DeepSpeed) (👨💻 320 · 🔀 3.9K · 📦 7.3K · 📋 2.7K - 39% open · ⏱️ 05.06.2024):
```
git clone https://github.com/microsoft/DeepSpeed
```
- [PyPi](https://pypi.org/project/deepspeed) (📥 530K / month · 📦 170 · ⏱️ 23.04.2024):
```
pip install deepspeed
```
- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 18K · ⭐ 4 · ⏱️ 02.09.2022):
```
docker pull deepspeed/deepspeed
```
dask.distributed (🥇40 · ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3
- [GitHub](https://github.com/dask/distributed) (👨💻 320 · 🔀 710 · 📦 35K · 📋 3.9K - 39% open · ⏱️ 05.06.2024):
```
git clone https://github.com/dask/distributed
```
- [PyPi](https://pypi.org/project/distributed) (📥 4.2M / month · 📦 750 · ⏱️ 31.05.2024):
```
pip install distributed
```
- [Conda](https://anaconda.org/conda-forge/distributed) (📥 14M · ⏱️ 31.05.2024):
```
conda install -c conda-forge distributed
```
horovod (🥈35 · ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
- [GitHub](https://github.com/horovod/horovod) (👨💻 170 · 🔀 2.2K · 📦 1.2K · 📋 2.2K - 17% open · ⏱️ 25.03.2024):
```
git clone https://github.com/horovod/horovod
```
- [PyPi](https://pypi.org/project/horovod) (📥 95K / month · 📦 29 · ⏱️ 12.06.2023):
```
pip install horovod
```
H2O-3 (🥈35 · ⭐ 6.8K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
- [GitHub](https://github.com/h2oai/h2o-3) (👨💻 260 · 🔀 2K · 📦 21 · 📋 9.4K - 29% open · ⏱️ 04.06.2024):
```
git clone https://github.com/h2oai/h2o-3
```
- [PyPi](https://pypi.org/project/h2o) (📥 290K / month · 📦 46 · ⏱️ 13.05.2024):
```
pip install h2o
```
metrics (🥈35 · ⭐ 2K) - Torchmetrics - Machine learning metrics for distributed, scalable.. Apache-2
- [GitHub](https://github.com/Lightning-AI/torchmetrics) (👨💻 240 · 🔀 380 · 📥 5.2K · 📦 26K · 📋 830 - 8% open · ⏱️ 06.06.2024):
```
git clone https://github.com/Lightning-AI/metrics
```
- [PyPi](https://pypi.org/project/metrics) (📥 4.3K / month · 📦 2 · ⏱️ 28.04.2018):
```
pip install metrics
```
- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 1.4M · ⏱️ 16.05.2024):
```
conda install -c conda-forge torchmetrics
```
ColossalAI (🥈34 · ⭐ 38K) - Making large AI models cheaper, faster and more accessible. Apache-2
- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨💻 190 · 🔀 4.2K · 📦 380 · 📋 1.6K - 25% open · ⏱️ 06.06.2024):
```
git clone https://github.com/hpcaitech/colossalai
```
BigDL (🥈33 · ⭐ 6.1K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
- [GitHub](https://github.com/intel-analytics/ipex-llm) (👨💻 100 · 🔀 1.2K · 📥 500 · 📦 51 · 📋 2.3K - 35% open · ⏱️ 06.06.2024):
```
git clone https://github.com/intel-analytics/BigDL
```
- [PyPi](https://pypi.org/project/bigdl) (📥 3.3K / month · 📦 2 · ⏱️ 24.03.2024):
```
pip install bigdl
```
- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (📦 5 · ⏱️ 20.04.2021):
```
com.intel.analytics.bigdl
bigdl-SPARK_2.4
[VERSION]
```
FairScale (🥈32 · ⭐ 3K) - PyTorch extensions for high performance and large scale training. BSD-3
- [GitHub](https://github.com/facebookresearch/fairscale) (👨💻 75 · 🔀 260 · 📦 5.3K · 📋 380 - 25% open · ⏱️ 03.05.2024):
```
git clone https://github.com/facebookresearch/fairscale
```
- [PyPi](https://pypi.org/project/fairscale) (📥 510K / month · 📦 66 · ⏱️ 11.12.2022):
```
pip install fairscale
```
- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 210K · ⏱️ 28.11.2023):
```
conda install -c conda-forge fairscale
```
dask-ml (🥈30 · ⭐ 880) - Scalable Machine Learning with Dask. BSD-3
- [GitHub](https://github.com/dask/dask-ml) (👨💻 78 · 🔀 250 · 📦 1K · 📋 530 - 51% open · ⏱️ 02.04.2024):
```
git clone https://github.com/dask/dask-ml
```
- [PyPi](https://pypi.org/project/dask-ml) (📥 250K / month · 📦 89 · ⏱️ 02.04.2024):
```
pip install dask-ml
```
- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 830K · ⏱️ 21.03.2024):
```
conda install -c conda-forge dask-ml
```
mpi4py (🥈30 · ⭐ 760) - Python bindings for MPI. BSD-2
- [GitHub](https://github.com/mpi4py/mpi4py) (👨💻 26 · 🔀 110 · 📥 24K · 📋 160 - 4% open · ⏱️ 03.06.2024):
```
git clone https://github.com/mpi4py/mpi4py
```
- [PyPi](https://pypi.org/project/mpi4py) (📥 300K / month · 📦 680 · ⏱️ 14.04.2024):
```
pip install mpi4py
```
- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 2.5M · ⏱️ 25.05.2024):
```
conda install -c conda-forge mpi4py
```
SynapseML (🥈29 · ⭐ 5K) - Simple and Distributed Machine Learning. MIT
- [GitHub](https://github.com/microsoft/SynapseML) (👨💻 120 · 🔀 820 · 📋 750 - 46% open · ⏱️ 21.05.2024):
```
git clone https://github.com/microsoft/SynapseML
```
- [PyPi](https://pypi.org/project/synapseml) (📥 220K / month · 📦 5 · ⏱️ 11.04.2024):
```
pip install synapseml
```
petastorm (🥉27 · ⭐ 1.8K) - Petastorm library enables single machine or distributed training.. Apache-2
- [GitHub](https://github.com/uber/petastorm) (👨💻 50 · 🔀 280 · 📥 460 · 📦 170 · 📋 320 - 53% open · ⏱️ 02.12.2023):
```
git clone https://github.com/uber/petastorm
```
- [PyPi](https://pypi.org/project/petastorm) (📥 75K / month · 📦 8 · ⏱️ 03.02.2023):
```
pip install petastorm
```
Submit it (🥉26 · ⭐ 1.1K · 💤) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
- [GitHub](https://github.com/facebookincubator/submitit) (👨💻 23 · 🔀 110 · 📦 2.7K · 📋 120 - 36% open · ⏱️ 09.11.2023):
```
git clone https://github.com/facebookincubator/submitit
```
- [PyPi](https://pypi.org/project/submitit) (📥 300K / month · 📦 39 · ⏱️ 09.11.2023):
```
pip install submitit
```
- [Conda](https://anaconda.org/conda-forge/submitit) (📥 37K · ⏱️ 24.11.2023):
```
conda install -c conda-forge submitit
```
Apache Singa (🥉25 · ⭐ 3.3K) - a distributed deep learning platform. Apache-2
- [GitHub](https://github.com/apache/singa) (👨💻 90 · 🔀 1.2K · 📦 3 · 📋 130 - 40% open · ⏱️ 23.05.2024):
```
git clone https://github.com/apache/singa
```
- [Conda](https://anaconda.org/nusdbsystem/singa) (📥 750 · ⏱️ 16.06.2023):
```
conda install -c nusdbsystem singa
```
- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 6.6K · ⭐ 4 · ⏱️ 31.05.2022):
```
docker pull apache/singa
```
Hivemind (🥉24 · ⭐ 1.9K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
- [GitHub](https://github.com/learning-at-home/hivemind) (👨💻 29 · 🔀 130 · 📦 100 · 📋 170 - 40% open · ⏱️ 04.12.2023):
```
git clone https://github.com/learning-at-home/hivemind
```
- [PyPi](https://pypi.org/project/hivemind) (📥 3.4K / month · 📦 10 · ⏱️ 31.08.2023):
```
pip install hivemind
```
MMLSpark (🥉22 · ⭐ 5K) - Simple and Distributed Machine Learning. MIT
- [GitHub](https://github.com/microsoft/SynapseML) (👨💻 120 · 🔀 820 · 📋 750 - 46% open · ⏱️ 21.05.2024):
```
git clone https://github.com/microsoft/SynapseML
```
- [PyPi](https://pypi.org/project/mmlspark) (📥 1 / month · ⏱️ 18.03.2020):
```
pip install mmlspark
```
Mesh (🥉22 · ⭐ 1.6K · 💤) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
- [GitHub](https://github.com/tensorflow/mesh) (👨💻 50 · 🔀 260 · 📋 120 - 84% open · ⏱️ 17.11.2023):
```
git clone https://github.com/tensorflow/mesh
```
- [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 42K / month · 📦 3 · ⏱️ 15.05.2022):
```
pip install mesh-tensorflow
```
analytics-zoo (🥉21 · ⭐ 2.6K · 🐣) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
- [GitHub](https://github.com/intel-analytics/analytics-zoo) (👨💻 110 · 🔀 730 · 📋 1.3K - 32% open · ⏱️ 08.04.2024):
```
git clone https://github.com/intel-analytics/analytics-zoo
```
- [PyPi](https://pypi.org/project/analytics-zoo) (📥 350 / month · 📦 1 · ⏱️ 22.08.2022):
```
pip install analytics-zoo
```
launchpad (🥉21 · ⭐ 310 · 💤) - Launchpad is a library that simplifies writing.. Apache-2
- [GitHub](https://github.com/google-deepmind/launchpad) (👨💻 28 · 🔀 34 · 📦 98 · 📋 40 - 47% open · ⏱️ 22.08.2023):
```
git clone https://github.com/deepmind/launchpad
```
- [PyPi](https://pypi.org/project/dm-launchpad) (📥 1.5K / month · 📦 1 · ⏱️ 28.04.2022):
```
pip install dm-launchpad
```
Show 15 hidden projects...
- DEAP (🥈32 · ⭐ 5.6K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0
- ipyparallel (🥈30 · ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed
- TensorFlowOnSpark (🥉27 · ⭐ 3.9K · 💀) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
- Elephas (🥉27 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. MIT keras
- sk-dist (🥉22 · ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark. Apache-2
- somoclu (🥉21 · ⭐ 260) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT
- BytePS (🥉20 · ⭐ 3.6K · 💀) - A high performance and generic framework for distributed DNN.. Apache-2
- TensorFrames (🥉20 · ⭐ 750 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2
- mesh-transformer-jax (🥉18 · ⭐ 6.2K · 💀) - Model parallel transformers in JAX and Haiku. Apache-2
- parallelformers (🥉18 · ⭐ 760 · 💀) - Parallelformers: An Efficient Model Parallelization.. Apache-2
- bluefog (🥉18 · ⭐ 290 · 💀) - Distributed and decentralized training framework for PyTorch.. Apache-2
- Fiber (🥉17 · ⭐ 1K · 💀) - Distributed Computing for AI Made Simple. Apache-2
- LazyCluster (🥉13 · ⭐ 50 · 💀) - Distributed machine learning made simple. Apache-2
- moolib (🥉11 · ⭐ 360 · 💀) - A library for distributed ML training with PyTorch. MIT
- autodist (🥉10 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow. Apache-2
## Hyperparameter Optimization & AutoML
_Libraries for hyperparameter optimization, automl and neural architecture search._
featuretools (🥇34 · ⭐ 7.1K) - An open source python library for automated feature engineering. BSD-3
- [GitHub](https://github.com/alteryx/featuretools) (👨💻 72 · 🔀 860 · 📦 1.7K · 📋 1K - 14% open · ⏱️ 03.06.2024):
```
git clone https://github.com/alteryx/featuretools
```
- [PyPi](https://pypi.org/project/featuretools) (📥 67K / month · 📦 73 · ⏱️ 14.05.2024):
```
pip install featuretools
```
- [Conda](https://anaconda.org/conda-forge/featuretools) (📥 190K · ⏱️ 15.05.2024):
```
conda install -c conda-forge featuretools
```
BoTorch (🥇34 · ⭐ 3K) - Bayesian optimization in PyTorch. MIT
- [GitHub](https://github.com/pytorch/botorch) (👨💻 110 · 🔀 370 · 📦 1K · 📋 500 - 14% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/botorch
```
- [PyPi](https://pypi.org/project/botorch) (📥 160K / month · 📦 74 · ⏱️ 01.05.2024):
```
pip install botorch
```
- [Conda](https://anaconda.org/conda-forge/botorch) (📥 110K · ⏱️ 01.05.2024):
```
conda install -c conda-forge botorch
```
Ax (🥇34 · ⭐ 2.3K) - Adaptive Experimentation Platform. MIT
- [GitHub](https://github.com/facebook/Ax) (👨💻 170 · 🔀 290 · 📦 730 · 📋 740 - 15% open · ⏱️ 05.06.2024):
```
git clone https://github.com/facebook/Ax
```
- [PyPi](https://pypi.org/project/ax-platform) (📥 95K / month · 📦 48 · ⏱️ 02.05.2024):
```
pip install ax-platform
```
- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 20K · ⏱️ 03.05.2024):
```
conda install -c conda-forge ax-platform
```
NNI (🥇33 · ⭐ 14K · 💤) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
- [GitHub](https://github.com/microsoft/nni) (👨💻 190 · 🔀 1.8K · 📦 660 · 📋 2.1K - 18% open · ⏱️ 26.10.2023):
```
git clone https://github.com/microsoft/nni
```
- [PyPi](https://pypi.org/project/nni) (📥 15K / month · 📦 38 · ⏱️ 14.09.2023):
```
pip install nni
```
AutoGluon (🥇33 · ⭐ 7.3K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
- [GitHub](https://github.com/autogluon/autogluon) (👨💻 120 · 🔀 860 · 📦 720 · 📋 1.3K - 26% open · ⏱️ 05.06.2024):
```
git clone https://github.com/autogluon/autogluon
```
- [PyPi](https://pypi.org/project/autogluon) (📥 77K / month · 📦 24 · ⏱️ 06.06.2024):
```
pip install autogluon
```
- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 8K · ⭐ 17 · ⏱️ 07.03.2024):
```
docker pull autogluon/autogluon
```
AutoKeras (🥈32 · ⭐ 9.1K) - AutoML library for deep learning. Apache-2
- [GitHub](https://github.com/keras-team/autokeras) (👨💻 140 · 🔀 1.4K · 📥 18K · 📦 680 · 📋 900 - 15% open · ⏱️ 20.03.2024):
```
git clone https://github.com/keras-team/autokeras
```
- [PyPi](https://pypi.org/project/autokeras) (📥 18K / month · 📦 13 · ⏱️ 20.03.2024):
```
pip install autokeras
```
Bayesian Optimization (🥈32 · ⭐ 7.6K) - A Python implementation of global optimization with.. MIT
- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (👨💻 44 · 🔀 1.5K · 📥 150 · 📦 2.7K · 📋 340 - 3% open · ⏱️ 06.03.2024):
```
git clone https://github.com/fmfn/BayesianOptimization
```
- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 530K / month · 📦 130 · ⏱️ 25.04.2023):
```
pip install bayesian-optimization
```
Hyperopt (🥈32 · ⭐ 7.1K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
- [GitHub](https://github.com/hyperopt/hyperopt) (👨💻 100 · 🔀 1K · 📦 15K · 📋 660 - 31% open · ⏱️ 13.03.2024):
```
git clone https://github.com/hyperopt/hyperopt
```
- [PyPi](https://pypi.org/project/hyperopt) (📥 2.4M / month · 📦 430 · ⏱️ 17.11.2021):
```
pip install hyperopt
```
- [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 770K · ⏱️ 16.06.2023):
```
conda install -c conda-forge hyperopt
```
Keras Tuner (🥈32 · ⭐ 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2
- [GitHub](https://github.com/keras-team/keras-tuner) (👨💻 61 · 🔀 380 · 📦 3.8K · 📋 480 - 43% open · ⏱️ 04.03.2024):
```
git clone https://github.com/keras-team/keras-tuner
```
- [PyPi](https://pypi.org/project/keras-tuner) (📥 270K / month · 📦 100 · ⏱️ 04.03.2024):
```
pip install keras-tuner
```
- [Conda](https://anaconda.org/conda-forge/keras-tuner) (📥 32K · ⏱️ 05.03.2024):
```
conda install -c conda-forge keras-tuner
```
nevergrad (🥈30 · ⭐ 3.9K) - A Python toolbox for performing gradient-free optimization. MIT
- [GitHub](https://github.com/facebookresearch/nevergrad) (👨💻 55 · 🔀 350 · 📦 690 · 📋 300 - 42% open · ⏱️ 08.04.2024):
```
git clone https://github.com/facebookresearch/nevergrad
```
- [PyPi](https://pypi.org/project/nevergrad) (📥 240K / month · 📦 46 · ⏱️ 20.02.2024):
```
pip install nevergrad
```
- [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 49K · ⏱️ 09.01.2024):
```
conda install -c conda-forge nevergrad
```
mljar-supervised (🥈28 · ⭐ 3K) - Python package for AutoML on Tabular Data with Feature.. MIT
- [GitHub](https://github.com/mljar/mljar-supervised) (👨💻 26 · 🔀 390 · 📦 110 · 📋 630 - 24% open · ⏱️ 03.06.2024):
```
git clone https://github.com/mljar/mljar-supervised
```
- [PyPi](https://pypi.org/project/mljar-supervised) (📥 2.9K / month · 📦 3 · ⏱️ 03.06.2024):
```
pip install mljar-supervised
```
- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 15K · ⏱️ 03.06.2024):
```
conda install -c conda-forge mljar-supervised
```
Talos (🥈27 · ⭐ 1.6K) - Hyperparameter Experiments with TensorFlow and Keras. MIT
- [GitHub](https://github.com/autonomio/talos) (👨💻 23 · 🔀 270 · 📦 170 · 📋 400 - 2% open · ⏱️ 22.04.2024):
```
git clone https://github.com/autonomio/talos
```
- [PyPi](https://pypi.org/project/talos) (📥 1.3K / month · 📦 8 · ⏱️ 21.04.2024):
```
pip install talos
```
lazypredict (🥈26 · ⭐ 2.7K) - Lazy Predict help build a lot of basic models without much code.. MIT
- [GitHub](https://github.com/shankarpandala/lazypredict) (👨💻 18 · 🔀 310 · 📦 960 · 📋 120 - 66% open · ⏱️ 02.06.2024):
```
git clone https://github.com/shankarpandala/lazypredict
```
- [PyPi](https://pypi.org/project/lazypredict) (📥 19K / month · 📦 1 · ⏱️ 28.09.2022):
```
pip install lazypredict
```
- [Conda](https://anaconda.org/conda-forge/lazypredict) (📥 3K · ⏱️ 16.06.2023):
```
conda install -c conda-forge lazypredict
```
FEDOT (🥉24 · ⭐ 620) - Automated modeling and machine learning framework FEDOT. BSD-3
- [GitHub](https://github.com/aimclub/FEDOT) (👨💻 33 · 🔀 84 · 📦 46 · 📋 540 - 17% open · ⏱️ 29.05.2024):
```
git clone https://github.com/nccr-itmo/FEDOT
```
- [PyPi](https://pypi.org/project/fedot) (📥 1.3K / month · 📦 5 · ⏱️ 03.05.2024):
```
pip install fedot
```
featurewiz (🥉23 · ⭐ 560) - Use advanced feature engineering strategies and select best.. Apache-2
- [GitHub](https://github.com/AutoViML/featurewiz) (👨💻 18 · 🔀 85 · 📦 68 · 📋 92 - 1% open · ⏱️ 02.05.2024):
```
git clone https://github.com/AutoViML/featurewiz
```
- [PyPi](https://pypi.org/project/featurewiz) (📥 8.9K / month · 📦 2 · ⏱️ 10.02.2024):
```
pip install featurewiz
```
Auto ViML (🥉23 · ⭐ 510) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
- [GitHub](https://github.com/AutoViML/Auto_ViML) (👨💻 9 · 🔀 99 · 📦 25 · 📋 34 - 2% open · ⏱️ 11.05.2024):
```
git clone https://github.com/AutoViML/Auto_ViML
```
- [PyPi](https://pypi.org/project/autoviml) (📥 2K / month · 📦 3 · ⏱️ 11.05.2024):
```
pip install autoviml
```
Hyperactive (🥉23 · ⭐ 490) - An optimization and data collection toolbox for convenient and fast.. MIT
- [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨💻 7 · 🔀 41 · 📥 140 · 📦 29 · 📋 60 - 13% open · ⏱️ 01.06.2024):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
- [PyPi](https://pypi.org/project/hyperactive) (📥 2.9K / month · 📦 13 · ⏱️ 17.05.2024):
```
pip install hyperactive
```
AlphaPy (🥉19 · ⭐ 1.1K) - Python AutoML for Trading Systems and Sports Betting. Apache-2
- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨💻 5 · 🔀 190 · 📦 4 · 📋 42 - 30% open · ⏱️ 10.02.2024):
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
- [PyPi](https://pypi.org/project/alphapy) (📥 150 / month · ⏱️ 29.08.2020):
```
pip install alphapy
```
shap-hypetune (🥉19 · ⭐ 540) - A python package for simultaneous Hyperparameters Tuning and.. MIT
- [GitHub](https://github.com/cerlymarco/shap-hypetune) (👨💻 3 · 🔀 68 · 📦 16 · 📋 33 - 12% open · ⏱️ 21.02.2024):
```
git clone https://github.com/cerlymarco/shap-hypetune
```
- [PyPi](https://pypi.org/project/shap-hypetune) (📥 1.2K / month · 📦 2 · ⏱️ 21.02.2024):
```
pip install shap-hypetune
```
opytimizer (🥉17 · ⭐ 600) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2
- [GitHub](https://github.com/gugarosa/opytimizer) (👨💻 4 · 🔀 41 · 📦 16 · 📋 21 - 4% open · ⏱️ 21.12.2023):
```
git clone https://github.com/gugarosa/opytimizer
```
- [PyPi](https://pypi.org/project/opytimizer) (📥 250 / month · ⏱️ 04.05.2022):
```
pip install opytimizer
```
Show 32 hidden projects...
- Optuna (🥇39 · ⭐ 9.9K) - A hyperparameter optimization framework. ❗Unlicensed
- scikit-optimize (🥇34 · ⭐ 2.7K · 💀) - Sequential model-based optimization with a.. BSD-3
- TPOT (🥇33 · ⭐ 9.5K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0
- auto-sklearn (🥈30 · ⭐ 7.4K · 💀) - Automated Machine Learning with scikit-learn. BSD-3
- Hyperas (🥈27 · ⭐ 2.2K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT
- lightwood (🥈26 · ⭐ 430) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0
- SMAC3 (🥈25 · ⭐ 1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause
- GPyOpt (🥈25 · ⭐ 920 · 💀) - Gaussian Process Optimization using GPy. BSD-3
- AdaNet (🥉23 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2
- auto_ml (🥉22 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
- Test Tube (🥉22 · ⭐ 740 · 💀) - Python library to easily log experiments and parallelize.. MIT
- HpBandSter (🥉22 · ⭐ 610 · 💀) - a distributed Hyperband implementation on Steroids. BSD-3
- Orion (🥉22 · ⭐ 280 · 💤) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
- MLBox (🥉21 · ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause
- Neuraxle (🥉21 · ⭐ 600 · 💀) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
- optunity (🥉21 · ⭐ 410 · 💀) - optimization routines for hyperparameter tuning. BSD-3
- sklearn-deap (🥉20 · ⭐ 760 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT
- igel (🥉19 · ⭐ 3.1K · 💀) - a delightful machine learning tool that allows you to train, test, and.. MIT
- Dragonfly (🥉19 · ⭐ 840 · 💀) - An open source python library for scalable Bayesian optimisation. MIT
- Auto Tune Models (🥉18 · ⭐ 520 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
- Sherpa (🥉18 · ⭐ 330 · 💀) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0
- Advisor (🥉17 · ⭐ 1.5K · 💀) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2
- Xcessiv (🥉17 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. Apache-2
- HyperparameterHunter (🥉16 · ⭐ 700 · 💀) - Easy hyperparameter optimization and automatic result.. MIT
- Parfit (🥉16 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of.. MIT
- automl-gs (🥉15 · ⭐ 1.8K · 💀) - Provide an input CSV and a target field to predict, generate a.. MIT
- ENAS (🥉13 · ⭐ 2.7K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
- Auptimizer (🥉12 · ⭐ 200 · 💀) - An automatic ML model optimization tool. ❗️GPL-3.0
- model_search (🥉11 · ⭐ 3.3K · 💀) - AutoML algorithms for model architecture search at scale. Apache-2
- Devol (🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras. MIT
- Hypermax (🥉11 · ⭐ 110) - Better, faster hyper-parameter optimization. BSD-3
- Hypertunity (🥉9 · ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation. Apache-2
## Reinforcement Learning
_Libraries for building and evaluating reinforcement learning & agent-based systems._
FinRL (🥇29 · ⭐ 9.3K) - FinRL: Financial Reinforcement Learning. MIT
- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨💻 110 · 🔀 2.2K · 📦 40 · 📋 700 - 31% open · ⏱️ 04.06.2024):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
- [PyPi](https://pypi.org/project/finrl) (📥 940 / month · ⏱️ 08.01.2022):
```
pip install finrl
```
Dopamine (🥈28 · ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2
- [GitHub](https://github.com/google/dopamine) (👨💻 15 · 🔀 1.4K · 📦 21 · 📋 190 - 53% open · ⏱️ 06.05.2024):
```
git clone https://github.com/google/dopamine
```
- [PyPi](https://pypi.org/project/dopamine-rl) (📥 32K / month · 📦 10 · ⏱️ 06.05.2024):
```
pip install dopamine-rl
```
Acme (🥈28 · ⭐ 3.4K) - A library of reinforcement learning components and agents. Apache-2
- [GitHub](https://github.com/google-deepmind/acme) (👨💻 85 · 🔀 410 · 📦 200 · 📋 260 - 23% open · ⏱️ 20.05.2024):
```
git clone https://github.com/deepmind/acme
```
- [PyPi](https://pypi.org/project/dm-acme) (📥 1.5K / month · 📦 3 · ⏱️ 10.02.2022):
```
pip install dm-acme
```
- [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 8.7K · ⏱️ 16.06.2023):
```
conda install -c conda-forge dm-acme
```
ViZDoom (🥈27 · ⭐ 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨💻 54 · 🔀 380 · 📥 12K · 📦 240 · 📋 460 - 8% open · ⏱️ 13.02.2024):
```
git clone https://github.com/mwydmuch/ViZDoom
```
- [PyPi](https://pypi.org/project/vizdoom) (📥 2.3K / month · 📦 13 · ⏱️ 16.12.2023):
```
pip install vizdoom
```
TF-Agents (🥈26 · ⭐ 2.7K · 📉) - TF-Agents: A reliable, scalable and easy to use.. Apache-2
- [GitHub](https://github.com/tensorflow/agents) (👨💻 150 · 🔀 720 · 📋 660 - 29% open · ⏱️ 20.03.2024):
```
git clone https://github.com/tensorflow/agents
```
- [PyPi](https://pypi.org/project/tf-agents) (📥 40K / month · 📦 12 · ⏱️ 14.12.2023):
```
pip install tf-agents
```
RLax (🥈26 · ⭐ 1.2K) - A library of reinforcement learning building blocks in JAX. Apache-2
- [GitHub](https://github.com/google-deepmind/rlax) (👨💻 21 · 🔀 83 · 📦 230 · 📋 25 - 28% open · ⏱️ 24.05.2024):
```
git clone https://github.com/deepmind/rlax
```
- [PyPi](https://pypi.org/project/rlax) (📥 1.9M / month · 📦 11 · ⏱️ 09.01.2023):
```
pip install rlax
```
PARL (🥉25 · ⭐ 3.2K) - A high-performance distributed training framework for Reinforcement.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PARL) (👨💻 45 · 🔀 810 · 📦 130 · 📋 530 - 25% open · ⏱️ 23.05.2024):
```
git clone https://github.com/PaddlePaddle/PARL
```
- [PyPi](https://pypi.org/project/parl) (📥 910 / month · 📦 1 · ⏱️ 13.05.2022):
```
pip install parl
```
TensorForce (🥉24 · ⭐ 3.3K · 📉) - Tensorforce: a TensorFlow library for applied.. Apache-2
- [GitHub](https://github.com/tensorforce/tensorforce) (👨💻 85 · 🔀 540 · 📋 670 - 5% open · ⏱️ 09.04.2024):
```
git clone https://github.com/tensorforce/tensorforce
```
- [PyPi](https://pypi.org/project/tensorforce) (📥 700 / month · 📦 4 · ⏱️ 30.08.2021):
```
pip install tensorforce
```
ReAgent (🥉23 · ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
- [GitHub](https://github.com/facebookresearch/ReAgent) (👨💻 170 · 🔀 510 · 📋 160 - 53% open · ⏱️ 15.05.2024):
```
git clone https://github.com/facebookresearch/ReAgent
```
- [PyPi](https://pypi.org/project/reagent) (📥 23 / month · ⏱️ 27.05.2020):
```
pip install reagent
```
PFRL (🥉23 · ⭐ 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
- [GitHub](https://github.com/pfnet/pfrl) (👨💻 20 · 🔀 150 · 📦 110 · 📋 79 - 41% open · ⏱️ 29.04.2024):
```
git clone https://github.com/pfnet/pfrl
```
- [PyPi](https://pypi.org/project/pfrl) (📥 380 / month · 📦 1 · ⏱️ 16.07.2023):
```
pip install pfrl
```
rliable (🥉13 · ⭐ 710) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
- [GitHub](https://github.com/google-research/rliable) (👨💻 7 · 🔀 43 · 📦 140 · 📋 17 - 23% open · ⏱️ 28.05.2024):
```
git clone https://github.com/google-research/rliable
```
- [PyPi](https://pypi.org/project/rliable`):
```
pip install rliable`
```
Show 12 hidden projects...
- OpenAI Gym (🥇40 · ⭐ 34K · 💀) - A toolkit for developing and comparing reinforcement learning.. MIT
- baselines (🥇29 · ⭐ 15K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
- keras-rl (🥈28 · ⭐ 5.5K · 💀) - Deep Reinforcement Learning for Keras. MIT
- TensorLayer (🥈27 · ⭐ 7.3K · 💀) - Deep Learning and Reinforcement Learning Library for.. Apache-2
- garage (🥉25 · ⭐ 1.8K · 💀) - A toolkit for reproducible reinforcement learning research. MIT
- Stable Baselines (🥉24 · ⭐ 4.1K · 💀) - A fork of OpenAI Baselines, implementations of.. MIT
- ChainerRL (🥉24 · ⭐ 1.2K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
- TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. Apache-2
- Coach (🥉20 · ⭐ 2.3K · 💀) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2
- SerpentAI (🥉18 · ⭐ 6.7K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT
- DeepMind Lab (🥉17 · ⭐ 7K · 💀) - A customisable 3D platform for agent-based AI research. ❗Unlicensed
- Maze (🥉12 · ⭐ 260 · 💀) - Maze Applied Reinforcement Learning Framework. ❗️Custom
## Recommender Systems
_Libraries for building and evaluating recommendation systems._
Recommenders (🥇35 · ⭐ 18K) - Best Practices on Recommendation Systems. MIT
- [GitHub](https://github.com/recommenders-team/recommenders) (👨💻 130 · 🔀 3K · 📥 500 · 📦 120 · 📋 840 - 18% open · ⏱️ 05.06.2024):
```
git clone https://github.com/microsoft/recommenders
```
- [PyPi](https://pypi.org/project/recommenders) (📥 29K / month · 📦 4 · ⏱️ 01.05.2024):
```
pip install recommenders
```
torchrec (🥇31 · ⭐ 1.8K) - Pytorch domain library for recommendation systems. BSD-3
- [GitHub](https://github.com/pytorch/torchrec) (👨💻 240 · 🔀 360 · 📦 120 · 📋 360 - 70% open · ⏱️ 06.06.2024):
```
git clone https://github.com/pytorch/torchrec
```
- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 1.1K / month · ⏱️ 12.05.2022):
```
pip install torchrec-nightly-cpu
```
implicit (🥈30 · ⭐ 3.4K · 💤) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
- [GitHub](https://github.com/benfred/implicit) (👨💻 34 · 🔀 600 · 📥 790 · 📦 1.3K · 📋 490 - 17% open · ⏱️ 21.11.2023):
```
git clone https://github.com/benfred/implicit
```
- [PyPi](https://pypi.org/project/implicit) (📥 220K / month · 📦 28 · ⏱️ 29.09.2023):
```
pip install implicit
```
- [Conda](https://anaconda.org/conda-forge/implicit) (📥 650K · ⏱️ 21.11.2023):
```
conda install -c conda-forge implicit
```
TF Recommenders (🥈30 · ⭐ 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2
- [GitHub](https://github.com/tensorflow/recommenders) (👨💻 43 · 🔀 260 · 📦 330 · 📋 430 - 57% open · ⏱️ 16.02.2024):
```
git clone https://github.com/tensorflow/recommenders
```
- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 470K / month · 📦 1 · ⏱️ 03.02.2023):
```
pip install tensorflow-recommenders
```
scikit-surprise (🥈29 · ⭐ 6.2K) - A Python scikit for building and analyzing recommender.. BSD-3
- [GitHub](https://github.com/NicolasHug/Surprise) (👨💻 46 · 🔀 1K · 📦 21 · 📋 400 - 22% open · ⏱️ 19.05.2024):
```
git clone https://github.com/NicolasHug/Surprise
```
- [PyPi](https://pypi.org/project/scikit-surprise) (📥 100K / month · 📦 36 · ⏱️ 19.05.2024):
```
pip install scikit-surprise
```
- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (📥 370K · ⏱️ 20.05.2024):
```
conda install -c conda-forge scikit-surprise
```
Cornac (🥈28 · ⭐ 840) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
- [GitHub](https://github.com/PreferredAI/cornac) (👨💻 21 · 🔀 130 · 📦 220 · 📋 150 - 9% open · ⏱️ 24.05.2024):
```
git clone https://github.com/PreferredAI/cornac
```
- [PyPi](https://pypi.org/project/cornac) (📥 38K / month · 📦 18 · ⏱️ 24.05.2024):
```
pip install cornac
```
- [Conda](https://anaconda.org/conda-forge/cornac) (📥 390K · ⏱️ 24.05.2024):
```
conda install -c conda-forge cornac
```
TF Ranking (🥉27 · ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2
- [GitHub](https://github.com/tensorflow/ranking) (👨💻 34 · 🔀 470 · 📋 330 - 27% open · ⏱️ 18.03.2024):
```
git clone https://github.com/tensorflow/ranking
```
- [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 120K / month · 📦 15 · ⏱️ 18.03.2024):
```
pip install tensorflow_ranking
```
RecBole (🥉25 · ⭐ 3.2K) - A unified, comprehensive and efficient recommendation library. MIT
- [GitHub](https://github.com/RUCAIBox/RecBole) (👨💻 71 · 🔀 590 · 📋 940 - 26% open · ⏱️ 30.03.2024):
```
git clone https://github.com/RUCAIBox/RecBole
```
- [PyPi](https://pypi.org/project/recbole) (📥 3.3K / month · 📦 2 · ⏱️ 31.10.2023):
```
pip install recbole
```
- [Conda](https://anaconda.org/aibox/recbole) (📥 4.9K · ⏱️ 01.11.2023):
```
conda install -c aibox recbole
```
recmetrics (🥉20 · ⭐ 560 · 💤) - A library of metrics for evaluating recommender systems. MIT
- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨💻 20 · 🔀 98 · 📥 6 · 📦 52 · 📋 28 - 46% open · ⏱️ 04.10.2023):
```
git clone https://github.com/statisticianinstilettos/recmetrics
```
- [PyPi](https://pypi.org/project/recmetrics) (📥 19K / month · ⏱️ 26.04.2022):
```
pip install recmetrics
```
Show 8 hidden projects...
- lightfm (🥈29 · ⭐ 4.6K · 💀) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2
- lkpy (🥉26 · ⭐ 260) - Python recommendation toolkit. MIT
- tensorrec (🥉21 · ⭐ 1.3K · 💀) - A TensorFlow recommendation algorithm and framework in.. Apache-2
- fastFM (🥉21 · ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines. BSD-3
- Spotlight (🥉18 · ⭐ 2.9K · 💀) - Deep recommender models using PyTorch. MIT
- Case Recommender (🥉18 · ⭐ 460 · 💀) - Case Recommender: A Flexible and Extensible Python.. MIT
- OpenRec (🥉16 · ⭐ 410 · 💀) - OpenRec is an open-source and modular library for neural network-.. Apache-2
- Collie (🥉15 · ⭐ 100 · 💀) - A library for preparing, training, and evaluating scalable deep.. BSD-3
## Privacy Machine Learning
_Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._
PySyft (🥇37 · ⭐ 9.3K) - Perform data science on data that remains in someone elses server. Apache-2
- [GitHub](https://github.com/OpenMined/PySyft) (👨💻 510 · 🔀 2K · 📥 2.5K · 📦 1 · 📋 3.4K - 0% open · ⏱️ 05.06.2024):
```
git clone https://github.com/OpenMined/PySyft
```
- [PyPi](https://pypi.org/project/syft) (📥 13K / month · 📦 3 · ⏱️ 03.06.2024):
```
pip install syft
```
Opacus (🥈29 · ⭐ 1.6K) - Training PyTorch models with differential privacy. Apache-2
- [GitHub](https://github.com/pytorch/opacus) (👨💻 79 · 🔀 320 · 📥 110 · 📦 810 · 📋 300 - 27% open · ⏱️ 31.05.2024):
```
git clone https://github.com/pytorch/opacus
```
- [PyPi](https://pypi.org/project/opacus) (📥 150K / month · 📦 32 · ⏱️ 11.02.2024):
```
pip install opacus
```
- [Conda](https://anaconda.org/conda-forge/opacus) (📥 14K · ⏱️ 11.02.2024):
```
conda install -c conda-forge opacus
```
TensorFlow Privacy (🥈26 · ⭐ 1.9K) - Library for training machine learning models with.. Apache-2
- [GitHub](https://github.com/tensorflow/privacy) (👨💻 59 · 🔀 450 · 📥 160 · 📋 200 - 55% open · ⏱️ 13.05.2024):
```
git clone https://github.com/tensorflow/privacy
```
- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 21K / month · 📦 15 · ⏱️ 14.02.2024):
```
pip install tensorflow-privacy
```
FATE (🥉25 · ⭐ 5.6K) - An Industrial Grade Federated Learning Framework. Apache-2
- [GitHub](https://github.com/FederatedAI/FATE) (👨💻 100 · 🔀 1.5K · 📋 2K - 43% open · ⏱️ 08.03.2024):
```
git clone https://github.com/FederatedAI/FATE
```
- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020):
```
pip install ETAF
```
CrypTen (🥉24 · ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning. MIT
- [GitHub](https://github.com/facebookresearch/CrypTen) (👨💻 36 · 🔀 270 · 📦 36 · 📋 270 - 28% open · ⏱️ 23.05.2024):
```
git clone https://github.com/facebookresearch/CrypTen
```
- [PyPi](https://pypi.org/project/crypten) (📥 290 / month · 📦 1 · ⏱️ 08.12.2022):
```
pip install crypten
```
Show 2 hidden projects...
- TFEncrypted (🥉24 · ⭐ 1.2K · 💀) - A Framework for Encrypted Machine Learning in.. Apache-2
- PipelineDP (🥉18 · ⭐ 270) - PipelineDP is a Python framework for applying differentially.. Apache-2
## Workflow & Experiment Tracking
_Libraries to organize, track, and visualize machine learning experiments._
mlflow (🥇44 · ⭐ 18K) - Open source platform for the machine learning lifecycle. Apache-2
- [GitHub](https://github.com/mlflow/mlflow) (👨💻 730 · 🔀 4K · 📦 37K · 📋 3.9K - 37% open · ⏱️ 06.06.2024):
```
git clone https://github.com/mlflow/mlflow
```
- [PyPi](https://pypi.org/project/mlflow) (📥 14M / month · 📦 780 · ⏱️ 06.06.2024):
```
pip install mlflow
```
- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 2M · ⏱️ 06.06.2024):
```
conda install -c conda-forge mlflow
```
Tensorboard (🥇44 · ⭐ 6.6K) - TensorFlows Visualization Toolkit. Apache-2
- [GitHub](https://github.com/tensorflow/tensorboard) (👨💻 320 · 🔀 1.6K · 📦 240K · 📋 1.9K - 35% open · ⏱️ 05.06.2024):
```
git clone https://github.com/tensorflow/tensorboard
```
- [PyPi](https://pypi.org/project/tensorboard) (📥 27M / month · 📦 2K · ⏱️ 16.02.2024):
```
pip install tensorboard
```
- [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 4.7M · ⏱️ 18.02.2024):
```
conda install -c conda-forge tensorboard
```
wandb client (🥇42 · ⭐ 8.4K) - A tool for visualizing and tracking your machine learning.. MIT
- [GitHub](https://github.com/wandb/wandb) (👨💻 180 · 🔀 610 · 📦 47K · 📋 3.1K - 26% open · ⏱️ 06.06.2024):
```
git clone https://github.com/wandb/client
```
- [PyPi](https://pypi.org/project/wandb) (📥 14M / month · 📦 1.2K · ⏱️ 07.05.2024):
```
pip install wandb
```
- [Conda](https://anaconda.org/conda-forge/wandb) (📥 520K · ⏱️ 25.03.2024):
```
conda install -c conda-forge wandb
```
DVC (🥇41 · ⭐ 13K) - ML Experiments and Data Management with Git. Apache-2
- [GitHub](https://github.com/iterative/dvc) (👨💻 300 · 🔀 1.2K · 📥 40K · 📦 16K · 📋 4.6K - 4% open · ⏱️ 03.06.2024):
```
git clone https://github.com/iterative/dvc
```
- [PyPi](https://pypi.org/project/dvc) (📥 490K / month · 📦 120 · ⏱️ 03.06.2024):
```
pip install dvc
```
- [Conda](https://anaconda.org/conda-forge/dvc) (📥 1.9M · ⏱️ 03.06.2024):
```
conda install -c conda-forge dvc
```
SageMaker SDK (🥇41 · ⭐ 2.1K · 📈) - A library for training and deploying machine learning.. Apache-2
- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨💻 440 · 🔀 1.1K · 📦 4K · 📋 1.5K - 19% open · ⏱️ 05.06.2024):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
- [PyPi](https://pypi.org/project/sagemaker) (📥 24M / month · 📦 130 · ⏱️ 22.05.2024):
```
pip install sagemaker
```
- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 820K · ⏱️ 23.05.2024):
```
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (🥈37 · ⭐ 8.6K) - An open-source, low-code machine learning library in Python. MIT
- [GitHub](https://github.com/pycaret/pycaret) (👨💻 140 · 🔀 1.7K · 📥 690 · 📦 5.8K · 📋 2.3K - 15% open · ⏱️ 28.04.2024):
```
git clone https://github.com/pycaret/pycaret
```
- [PyPi](https://pypi.org/project/pycaret) (📥 330K / month · 📦 30 · ⏱️ 28.04.2024):
```
pip install pycaret
```
- [Conda](https://anaconda.org/conda-forge/pycaret) (📥 47K · ⏱️ 25.04.2024):
```
conda install -c conda-forge pycaret
```
ClearML (🥈34 · ⭐ 5.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
- [GitHub](https://github.com/allegroai/clearml) (👨💻 98 · 🔀 640 · 📥 2.5K · 📦 1.1K · 📋 1K - 45% open · ⏱️ 05.06.2024):
```
git clone https://github.com/allegroai/clearml
```
- [PyPi](https://pypi.org/project/clearml) (📥 310K / month · 📦 34 · ⏱️ 21.05.2024):
```
pip install clearml
```
- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 30K · ⏱️ 05.10.2020):
```
docker pull allegroai/trains
```
Metaflow (🥈33 · ⭐ 7.7K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2
- [GitHub](https://github.com/Netflix/metaflow) (👨💻 90 · 🔀 730 · 📦 670 · 📋 700 - 46% open · ⏱️ 05.06.2024):
```
git clone https://github.com/Netflix/metaflow
```
- [PyPi](https://pypi.org/project/metaflow) (📥 310K / month · 📦 45 · ⏱️ 05.06.2024):
```
pip install metaflow
```
- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 180K · ⏱️ 04.06.2024):
```
conda install -c conda-forge metaflow
```
AzureML SDK (🥈33 · ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine.. MIT
- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨💻 64 · 🔀 2.5K · 📥 620 · 📋 1.5K - 26% open · ⏱️ 16.05.2024):
```
git clone https://github.com/Azure/MachineLearningNotebooks
```
- [PyPi](https://pypi.org/project/azureml-sdk) (📥 540K / month · 📦 48 · ⏱️ 29.04.2024):
```
pip install azureml-sdk
```
snakemake (🥈33 · ⭐ 2.1K) - This is the development home of the workflow management system.. MIT
- [GitHub](https://github.com/snakemake/snakemake) (👨💻 330 · 🔀 520 · 📦 2K · 📋 1.7K - 61% open · ⏱️ 05.06.2024):
```
git clone https://github.com/snakemake/snakemake
```
- [PyPi](https://pypi.org/project/snakemake) (📥 43K / month · 📦 220 · ⏱️ 05.06.2024):
```
pip install snakemake
```
- [Conda](https://anaconda.org/bioconda/snakemake) (📥 1.1M · ⏱️ 05.06.2024):
```
conda install -c bioconda snakemake
```
tensorboardX (🥈32 · ⭐ 7.8K · 💤) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
- [GitHub](https://github.com/lanpa/tensorboardX) (👨💻 82 · 🔀 870 · 📥 420 · 📦 44K · 📋 450 - 17% open · ⏱️ 12.11.2023):
```
git clone https://github.com/lanpa/tensorboardX
```
- [PyPi](https://pypi.org/project/tensorboardX) (📥 2.2M / month · 📦 600 · ⏱️ 20.08.2023):
```
pip install tensorboardX
```
- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 1.2M · ⏱️ 20.08.2023):
```
conda install -c conda-forge tensorboardx
```
kaggle (🥈32 · ⭐ 6K) - Official Kaggle API. Apache-2
- [GitHub](https://github.com/Kaggle/kaggle-api) (👨💻 42 · 🔀 1K · 📦 21 · 📋 460 - 32% open · ⏱️ 17.05.2024):
```
git clone https://github.com/Kaggle/kaggle-api
```
- [PyPi](https://pypi.org/project/kaggle) (📥 210K / month · 📦 180 · ⏱️ 17.05.2024):
```
pip install kaggle
```
- [Conda](https://anaconda.org/conda-forge/kaggle) (📥 160K · ⏱️ 17.05.2024):
```
conda install -c conda-forge kaggle
```
aim (🥈32 · ⭐ 4.9K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
- [GitHub](https://github.com/aimhubio/aim) (👨💻 64 · 🔀 290 · 📦 580 · 📋 1K - 34% open · ⏱️ 03.06.2024):
```
git clone https://github.com/aimhubio/aim
```
- [PyPi](https://pypi.org/project/aim) (📥 73K / month · 📦 36 · ⏱️ 05.06.2024):
```
pip install aim
```
- [Conda](https://anaconda.org/conda-forge/aim) (📥 49K · ⏱️ 16.06.2023):
```
conda install -c conda-forge aim
```
Neptune.ai (🥈31 · ⭐ 550) - The MLOps stack component for experiment tracking. Apache-2
- [GitHub](https://github.com/neptune-ai/neptune-client) (👨💻 54 · 🔀 61 · 📦 500 · 📋 230 - 9% open · ⏱️ 05.06.2024):
```
git clone https://github.com/neptune-ai/neptune-client
```
- [PyPi](https://pypi.org/project/neptune-client) (📥 520K / month · 📦 77 · ⏱️ 15.05.2024):
```
pip install neptune-client
```
- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 250K · ⏱️ 15.05.2024):
```
conda install -c conda-forge neptune-client
```
VisualDL (🥈29 · ⭐ 4.7K · 💤) - Deep Learning Visualization Toolkit. Apache-2
- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨💻 33 · 🔀 630 · 📥 380 · 📦 2.9K · 📋 500 - 28% open · ⏱️ 20.09.2023):
```
git clone https://github.com/PaddlePaddle/VisualDL
```
- [PyPi](https://pypi.org/project/visualdl) (📥 220K / month · 📦 46 · ⏱️ 05.06.2023):
```
pip install visualdl
```
sacred (🥈29 · ⭐ 4.2K · 💤) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
- [GitHub](https://github.com/IDSIA/sacred) (👨💻 100 · 🔀 380 · 📦 3K · 📋 560 - 17% open · ⏱️ 13.11.2023):
```
git clone https://github.com/IDSIA/sacred
```
- [PyPi](https://pypi.org/project/sacred) (📥 31K / month · 📦 58 · ⏱️ 13.11.2023):
```
pip install sacred
```
- [Conda](https://anaconda.org/conda-forge/sacred) (📥 5.4K · ⏱️ 28.11.2023):
```
conda install -c conda-forge sacred
```
Labml (🥉27 · ⭐ 1.9K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
- [GitHub](https://github.com/labmlai/labml) (👨💻 9 · 🔀 130 · 📦 150 · 📋 39 - 43% open · ⏱️ 28.05.2024):
```
git clone https://github.com/labmlai/labml
```
- [PyPi](https://pypi.org/project/labml) (📥 2.5K / month · 📦 12 · ⏱️ 23.05.2024):
```
pip install labml
```
TNT (🥉26 · ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3
- [GitHub](https://github.com/pytorch/tnt) (👨💻 130 · 🔀 260 · 📋 140 - 53% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pytorch/tnt
```
- [PyPi](https://pypi.org/project/torchnet) (📥 7.4K / month · 📦 24 · ⏱️ 29.07.2018):
```
pip install torchnet
```
ml-metadata (🥉26 · ⭐ 600) - For recording and retrieving metadata associated with ML.. Apache-2
- [GitHub](https://github.com/google/ml-metadata) (👨💻 19 · 🔀 130 · 📥 2.2K · 📦 460 · 📋 120 - 34% open · ⏱️ 04.06.2024):
```
git clone https://github.com/google/ml-metadata
```
- [PyPi](https://pypi.org/project/ml-metadata) (📥 88K / month · 📦 31 · ⏱️ 23.04.2024):
```
pip install ml-metadata
```
quinn (🥉26 · ⭐ 580 · 📈) - pyspark methods to enhance developer productivity. Apache-2
- [GitHub](https://github.com/MrPowers/quinn) (👨💻 28 · 🔀 91 · 📥 23 · 📦 77 · 📋 120 - 31% open · ⏱️ 07.05.2024):
```
git clone https://github.com/MrPowers/quinn
```
- [PyPi](https://pypi.org/project/quinn) (📥 760K / month · 📦 7 · ⏱️ 13.02.2024):
```
pip install quinn
```
gokart (🥉25 · ⭐ 300) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT
- [GitHub](https://github.com/m3dev/gokart) (👨💻 41 · 🔀 56 · 📦 78 · 📋 80 - 25% open · ⏱️ 21.05.2024):
```
git clone https://github.com/m3dev/gokart
```
- [PyPi](https://pypi.org/project/gokart) (📥 2.7K / month · 📦 8 · ⏱️ 21.05.2024):
```
pip install gokart
```
Guild AI (🥉23 · ⭐ 860 · 💤) - Experiment tracking, ML developer tools. Apache-2
- [GitHub](https://github.com/guildai/guildai) (👨💻 29 · 🔀 85 · 📥 16 · 📦 96 · 📋 440 - 50% open · ⏱️ 12.08.2023):
```
git clone https://github.com/guildai/guildai
```
- [PyPi](https://pypi.org/project/guildai) (📥 1.3K / month · ⏱️ 11.05.2022):
```
pip install guildai
```
Studio.ml (🥉21 · ⭐ 380 · 💤) - Studio: Simplify and expedite model building process. Apache-2
- [GitHub](https://github.com/studioml/studio) (👨💻 24 · 🔀 52 · 📦 5 · 📋 250 - 22% open · ⏱️ 06.09.2023):
```
git clone https://github.com/studioml/studio
```
- [PyPi](https://pypi.org/project/studioml) (📥 770 / month · ⏱️ 14.09.2021):
```
pip install studioml
```
TensorWatch (🥉20 · ⭐ 3.4K · 💤) - Debugging, monitoring and visualization for Python Machine.. MIT
- [GitHub](https://github.com/microsoft/tensorwatch) (👨💻 15 · 🔀 360 · 📦 140 · 📋 70 - 75% open · ⏱️ 30.08.2023):
```
git clone https://github.com/microsoft/tensorwatch
```
- [PyPi](https://pypi.org/project/tensorwatch) (📥 820 / month · 📦 7 · ⏱️ 04.03.2020):
```
pip install tensorwatch
```
CometML (🥉16) - Supercharging Machine Learning. MIT
- [GitHub]():
```
git clone https://github.com/comet-ml/examples
```
- [PyPi](https://pypi.org/project/comet_ml) (📥 710K / month · 📦 68 · ⏱️ 29.05.2024):
```
pip install comet_ml
```
- [Conda](https://anaconda.org/anaconda/comet_ml):
```
conda install -c anaconda comet_ml
```
caliban (🥉15 · ⭐ 490) - Research workflows made easy, locally and in the Cloud. Apache-2
- [GitHub](https://github.com/google/caliban) (👨💻 10 · 🔀 67 · 📋 34 - 55% open · ⏱️ 25.01.2024):
```
git clone https://github.com/google/caliban
```
- [PyPi](https://pypi.org/project/caliban) (📥 71 / month · ⏱️ 12.09.2020):
```
pip install caliban
```
Show 14 hidden projects...
- Catalyst (🥉28 · ⭐ 3.2K · 💀) - Accelerated deep learning R&D. Apache-2
- knockknock (🥉26 · ⭐ 2.8K · 💀) - Knock Knock: Get notified when your training ends with only two.. MIT
- livelossplot (🥉25 · ⭐ 1.3K · 💀) - Live training loss plot in Jupyter Notebook for Keras,.. MIT
- SKLL (🥉23 · ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause
- hiddenlayer (🥉22 · ⭐ 1.8K · 💀) - Neural network graphs and training metrics for.. MIT
- TensorBoard Logger (🥉21 · ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow. MIT
- lore (🥉20 · ⭐ 1.6K · 💀) - Lore makes machine learning approachable for Software Engineers and.. MIT
- keepsake (🥉18 · ⭐ 1.6K · 💀) - Version control for machine learning. Apache-2
- datmo (🥉17 · ⭐ 340 · 💀) - Open source production model management tool for data scientists. MIT
- chitra (🥉17 · ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2
- MXBoard (🥉16 · ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2
- steppy (🥉16 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT
- ModelChimp (🥉12 · ⭐ 130 · 💀) - Experiment tracking for machine and deep learning projects. BSD-2
- traintool (🥉9 · ⭐ 12 · 💀) - Train off-the-shelf machine learning models in one.. Apache-2
## Model Serialization & Deployment
_Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment._
onnx (🥇43 · ⭐ 17K) - Open standard for machine learning interoperability. Apache-2
- [GitHub](https://github.com/onnx/onnx) (👨💻 320 · 🔀 3.6K · 📥 21K · 📦 29K · 📋 2.8K - 11% open · ⏱️ 03.06.2024):
```
git clone https://github.com/onnx/onnx
```
- [PyPi](https://pypi.org/project/onnx) (📥 5.7M / month · 📦 930 · ⏱️ 23.05.2024):
```
pip install onnx
```
- [Conda](https://anaconda.org/conda-forge/onnx) (📥 1M · ⏱️ 24.05.2024):
```
conda install -c conda-forge onnx
```
triton (🥇43 · ⭐ 12K) - Development repository for the Triton language and compiler. MIT
- [GitHub](https://github.com/triton-lang/triton) (👨💻 280 · 🔀 1.3K · 📦 27K · 📋 1.2K - 42% open · ⏱️ 06.06.2024):
```
git clone https://github.com/openai/triton
```
- [PyPi](https://pypi.org/project/triton) (📥 12M / month · 📦 180 · ⏱️ 27.05.2024):
```
pip install triton
```
huggingface_hub (🥈38 · ⭐ 1.8K) - The official Python client for the Huggingface Hub. Apache-2
- [GitHub](https://github.com/huggingface/huggingface_hub) (👨💻 170 · 🔀 460 · 📋 830 - 16% open · ⏱️ 05.06.2024):
```
git clone https://github.com/huggingface/huggingface_hub
```
- [PyPi](https://pypi.org/project/huggingface_hub) (📥 36M / month · 📦 1.3K · ⏱️ 05.06.2024):
```
pip install huggingface_hub
```
- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 1.8M · ⏱️ 05.06.2024):
```
conda install -c conda-forge huggingface_hub
```
BentoML (🥈35 · ⭐ 6.7K) - The easiest way to serve AI/ML models in production - Build Model.. Apache-2
- [GitHub](https://github.com/bentoml/BentoML) (👨💻 200 · 🔀 760 · 📥 1.6K · 📦 1.8K · 📋 1.1K - 22% open · ⏱️ 06.06.2024):
```
git clone https://github.com/bentoml/BentoML
```
- [PyPi](https://pypi.org/project/bentoml) (📥 100K / month · 📦 23 · ⏱️ 03.06.2024):
```
pip install bentoml
```
Core ML Tools (🥈35 · ⭐ 4.1K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
- [GitHub](https://github.com/apple/coremltools) (👨💻 170 · 🔀 600 · 📥 9.7K · 📦 3.9K · 📋 1.4K - 22% open · ⏱️ 17.05.2024):
```
git clone https://github.com/apple/coremltools
```
- [PyPi](https://pypi.org/project/coremltools) (📥 550K / month · 📦 71 · ⏱️ 23.04.2024):
```
pip install coremltools
```
- [Conda](https://anaconda.org/conda-forge/coremltools) (📥 59K · ⏱️ 16.06.2023):
```
conda install -c conda-forge coremltools
```
TorchServe (🥈35 · ⭐ 4K) - Serve, optimize and scale PyTorch models in production. Apache-2
- [GitHub](https://github.com/pytorch/serve) (👨💻 200 · 🔀 820 · 📥 5.7K · 📦 660 · 📋 1.6K - 23% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pytorch/serve
```
- [PyPi](https://pypi.org/project/torchserve) (📥 59K / month · 📦 21 · ⏱️ 16.05.2024):
```
pip install torchserve
```
- [Conda](https://anaconda.org/pytorch/torchserve) (📥 190K · ⏱️ 16.05.2024):
```
conda install -c pytorch torchserve
```
- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (📥 1.3M · ⭐ 27 · ⏱️ 16.05.2024):
```
docker pull pytorch/torchserve
```
hls4ml (🥈26 · ⭐ 1.1K) - Machine learning on FPGAs using HLS. Apache-2
- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨💻 61 · 🔀 360 · 📋 410 - 38% open · ⏱️ 31.05.2024):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
- [PyPi](https://pypi.org/project/hls4ml) (📥 940 / month · ⏱️ 19.12.2023):
```
pip install hls4ml
```
- [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 7.7K · ⏱️ 16.06.2023):
```
conda install -c conda-forge hls4ml
```
Hummingbird (🥉25 · ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
- [GitHub](https://github.com/microsoft/hummingbird) (👨💻 40 · 🔀 270 · 📥 500 · 📋 320 - 18% open · ⏱️ 30.05.2024):
```
git clone https://github.com/microsoft/hummingbird
```
- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 4.7K / month · 📦 4 · ⏱️ 08.03.2024):
```
pip install hummingbird-ml
```
- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 41K · ⏱️ 08.03.2024):
```
conda install -c conda-forge hummingbird-ml
```
nebullvm (🥉21 · ⭐ 8.4K · 💤) - The user analytics platform for LLMs. Apache-2
- [GitHub](https://github.com/nebuly-ai/nebuly) (👨💻 40 · 🔀 640 · 📋 200 - 48% open · ⏱️ 28.10.2023):
```
git clone https://github.com/nebuly-ai/nebullvm
```
- [PyPi](https://pypi.org/project/nebullvm) (📥 540 / month · 📦 2 · ⏱️ 18.06.2023):
```
pip install nebullvm
```
tfdeploy (🥉16 · ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3
- [GitHub](https://github.com/riga/tfdeploy) (👨💻 4 · 🔀 38 · 📋 34 - 32% open · ⏱️ 25.02.2024):
```
git clone https://github.com/riga/tfdeploy
```
- [PyPi](https://pypi.org/project/tfdeploy) (📥 54 / month · ⏱️ 30.03.2017):
```
pip install tfdeploy
```
Show 10 hidden projects...
- mmdnn (🥈26 · ⭐ 5.8K · 💀) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
- m2cgen (🥉25 · ⭐ 2.7K · 💀) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
- sklearn-porter (🥉24 · ⭐ 1.3K · 💀) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3
- cortex (🥉22 · ⭐ 8K · 💀) - Production infrastructure for machine learning at scale. Apache-2
- OMLT (🥉20 · ⭐ 250) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3
- pytorch2keras (🥉19 · ⭐ 850 · 💀) - PyTorch to Keras model convertor. MIT
- modelkit (🥉19 · ⭐ 150) - Toolkit for developing and maintaining ML models. MIT
- Larq Compute Engine (🥉18 · ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2
- ml-ane-transformers (🥉13 · ⭐ 2.5K · 💀) - Reference implementation of the Transformer.. ❗Unlicensed
- backprop (🥉13 · ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2
## Model Interpretability
_Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._
shap (🥇42 · ⭐ 22K) - A game theoretic approach to explain the output of any machine learning model. MIT
- [GitHub](https://github.com/shap/shap) (👨💻 240 · 🔀 3.2K · 📦 18K · 📋 2.5K - 32% open · ⏱️ 04.06.2024):
```
git clone https://github.com/slundberg/shap
```
- [PyPi](https://pypi.org/project/shap) (📥 6.8M / month · 📦 690 · ⏱️ 07.05.2024):
```
pip install shap
```
- [Conda](https://anaconda.org/conda-forge/shap) (📥 2.9M · ⏱️ 08.05.2024):
```
conda install -c conda-forge shap
```
arviz (🥇36 · ⭐ 1.5K) - Exploratory analysis of Bayesian models with Python. Apache-2
- [GitHub](https://github.com/arviz-devs/arviz) (👨💻 160 · 🔀 380 · 📥 140 · 📦 6.7K · 📋 850 - 20% open · ⏱️ 05.06.2024):
```
git clone https://github.com/arviz-devs/arviz
```
- [PyPi](https://pypi.org/project/arviz) (📥 2.4M / month · 📦 280 · ⏱️ 05.04.2024):
```
pip install arviz
```
- [Conda](https://anaconda.org/conda-forge/arviz) (📥 2.1M · ⏱️ 04.06.2024):
```
conda install -c conda-forge arviz
```
Netron (🥇34 · ⭐ 27K) - Visualizer for neural network, deep learning and machine learning.. MIT
- [GitHub](https://github.com/lutzroeder/netron) (👨💻 2 · 🔀 2.7K · 📥 110K · 📦 12 · 📋 1.1K - 2% open · ⏱️ 06.06.2024):
```
git clone https://github.com/lutzroeder/netron
```
- [PyPi](https://pypi.org/project/netron) (📥 25K / month · 📦 79 · ⏱️ 01.06.2024):
```
pip install netron
```
InterpretML (🥇33 · ⭐ 6.1K) - Fit interpretable models. Explain blackbox machine learning. MIT
- [GitHub](https://github.com/interpretml/interpret) (👨💻 44 · 🔀 720 · 📦 690 · 📋 430 - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/interpretml/interpret
```
- [PyPi](https://pypi.org/project/interpret) (📥 81K / month · 📦 45 · ⏱️ 14.04.2024):
```
pip install interpret
```
Captum (🥇32 · ⭐ 4.6K) - Model interpretability and understanding for PyTorch. BSD-3
- [GitHub](https://github.com/pytorch/captum) (👨💻 110 · 🔀 460 · 📦 2.1K · 📋 550 - 38% open · ⏱️ 31.05.2024):
```
git clone https://github.com/pytorch/captum
```
- [PyPi](https://pypi.org/project/captum) (📥 240K / month · 📦 110 · ⏱️ 05.12.2023):
```
pip install captum
```
- [Conda](https://anaconda.org/conda-forge/captum) (📥 26K · ⏱️ 16.06.2023):
```
conda install -c conda-forge captum
```
explainerdashboard (🥇32 · ⭐ 2.2K) - Quickly build Explainable AI dashboards that show the inner.. MIT
- [GitHub](https://github.com/oegedijk/explainerdashboard) (👨💻 21 · 🔀 320 · 📦 490 · 📋 240 - 14% open · ⏱️ 18.03.2024):
```
git clone https://github.com/oegedijk/explainerdashboard
```
- [PyPi](https://pypi.org/project/explainerdashboard) (📥 81K / month · 📦 10 · ⏱️ 18.03.2024):
```
pip install explainerdashboard
```
- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 46K · ⏱️ 18.03.2024):
```
conda install -c conda-forge explainerdashboard
```
evaluate (🥇32 · ⭐ 1.9K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
- [GitHub](https://github.com/huggingface/evaluate) (👨💻 130 · 🔀 220 · 📦 9.7K · 📋 310 - 57% open · ⏱️ 30.04.2024):
```
git clone https://github.com/huggingface/evaluate
```
- [PyPi](https://pypi.org/project/evaluate) (📥 2.7M / month · 📦 340 · ⏱️ 30.04.2024):
```
pip install evaluate
```
pyLDAvis (🥈30 · ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3
- [GitHub](https://github.com/bmabey/pyLDAvis) (👨💻 43 · 🔀 360 · 📦 6.1K · 📋 190 - 40% open · ⏱️ 29.04.2024):
```
git clone https://github.com/bmabey/pyLDAvis
```
- [PyPi](https://pypi.org/project/pyldavis) (📥 150K / month · 📦 99 · ⏱️ 23.04.2023):
```
pip install pyldavis
```
- [Conda](https://anaconda.org/conda-forge/pyldavis) (📥 81K · ⏱️ 16.06.2023):
```
conda install -c conda-forge pyldavis
```
responsible-ai-widgets (🥈30 · ⭐ 1.3K) - Responsible AI Toolbox is a suite of tools providing.. MIT
- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨💻 42 · 🔀 320 · 📦 100 · 📋 320 - 27% open · ⏱️ 21.05.2024):
```
git clone https://github.com/microsoft/responsible-ai-toolbox
```
- [PyPi](https://pypi.org/project/raiwidgets) (📥 12K / month · 📦 6 · ⏱️ 20.05.2024):
```
pip install raiwidgets
```
DoWhy (🥈29 · ⭐ 6.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
- [GitHub](https://github.com/py-why/dowhy) (👨💻 90 · 🔀 900 · 📥 35 · 📦 380 · 📋 450 - 28% open · ⏱️ 05.06.2024):
```
git clone https://github.com/py-why/dowhy
```
- [PyPi](https://pypi.org/project/dowhy) (📥 45K / month · 📦 7 · ⏱️ 25.12.2023):
```
pip install dowhy
```
- [Conda](https://anaconda.org/conda-forge/dowhy) (📥 22K · ⏱️ 26.01.2024):
```
conda install -c conda-forge dowhy
```
shapash (🥈29 · ⭐ 2.7K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
- [GitHub](https://github.com/MAIF/shapash) (👨💻 38 · 🔀 320 · 📦 160 · 📋 190 - 17% open · ⏱️ 06.05.2024):
```
git clone https://github.com/MAIF/shapash
```
- [PyPi](https://pypi.org/project/shapash) (📥 6.9K / month · 📦 4 · ⏱️ 06.05.2024):
```
pip install shapash
```
fairlearn (🥈29 · ⭐ 1.8K) - A Python package to assess and improve fairness of machine.. MIT
- [GitHub](https://github.com/fairlearn/fairlearn) (👨💻 82 · 🔀 390 · 📦 3 · 📋 460 - 36% open · ⏱️ 04.06.2024):
```
git clone https://github.com/fairlearn/fairlearn
```
- [PyPi](https://pypi.org/project/fairlearn) (📥 230K / month · 📦 50 · ⏱️ 19.12.2023):
```
pip install fairlearn
```
- [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 33K · ⏱️ 20.12.2023):
```
conda install -c conda-forge fairlearn
```
Model Analysis (🥈29 · ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2
- [GitHub](https://github.com/tensorflow/model-analysis) (👨💻 57 · 🔀 270 · 📦 2 · 📋 88 - 37% open · ⏱️ 25.04.2024):
```
git clone https://github.com/tensorflow/model-analysis
```
- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 77K / month · 📦 23 · ⏱️ 25.04.2024):
```
pip install tensorflow-model-analysis
```
dtreeviz (🥈28 · ⭐ 2.9K) - A python library for decision tree visualization and model interpretation. MIT
- [GitHub](https://github.com/parrt/dtreeviz) (👨💻 26 · 🔀 330 · 📦 1.2K · 📋 200 - 32% open · ⏱️ 06.01.2024):
```
git clone https://github.com/parrt/dtreeviz
```
- [PyPi](https://pypi.org/project/dtreeviz) (📥 140K / month · 📦 24 · ⏱️ 07.07.2022):
```
pip install dtreeviz
```
- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 71K · ⏱️ 13.07.2023):
```
conda install -c conda-forge dtreeviz
```
Fairness 360 (🥈28 · ⭐ 2.3K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
- [GitHub](https://github.com/Trusted-AI/AIF360) (👨💻 73 · 🔀 810 · 📦 420 · 📋 290 - 64% open · ⏱️ 08.04.2024):
```
git clone https://github.com/Trusted-AI/AIF360
```
- [PyPi](https://pypi.org/project/aif360) (📥 31K / month · 📦 26 · ⏱️ 08.04.2024):
```
pip install aif360
```
- [Conda](https://anaconda.org/conda-forge/aif360) (📥 11K · ⏱️ 09.04.2024):
```
conda install -c conda-forge aif360
```
imodels (🥈28 · ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate.. MIT
- [GitHub](https://github.com/csinva/imodels) (👨💻 24 · 🔀 120 · 📦 72 · 📋 85 - 37% open · ⏱️ 26.05.2024):
```
git clone https://github.com/csinva/imodels
```
- [PyPi](https://pypi.org/project/imodels) (📥 65K / month · 📦 9 · ⏱️ 23.05.2024):
```
pip install imodels
```
yellowbrick (🥈27 · ⭐ 4.2K · 💤) - Visual analysis and diagnostic tools to facilitate.. Apache-2
- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (👨💻 110 · 🔀 550 · 📋 700 - 13% open · ⏱️ 05.07.2023):
```
git clone https://github.com/DistrictDataLabs/yellowbrick
```
- [PyPi](https://pypi.org/project/yellowbrick) (📥 530K / month · 📦 97 · ⏱️ 21.08.2022):
```
pip install yellowbrick
```
- [Conda](https://anaconda.org/conda-forge/yellowbrick) (📥 79K · ⏱️ 16.06.2023):
```
conda install -c conda-forge yellowbrick
```
LIT (🥈27 · ⭐ 3.4K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
- [GitHub](https://github.com/PAIR-code/lit) (👨💻 36 · 🔀 340 · 📦 34 · 📋 180 - 53% open · ⏱️ 17.04.2024):
```
git clone https://github.com/PAIR-code/lit
```
- [PyPi](https://pypi.org/project/lit-nlp) (📥 3.4K / month · 📦 3 · ⏱️ 09.04.2024):
```
pip install lit-nlp
```
- [Conda](https://anaconda.org/conda-forge/lit-nlp) (📥 74K · ⏱️ 16.06.2023):
```
conda install -c conda-forge lit-nlp
```
CausalNex (🥉25 · ⭐ 2.2K) - A Python library that helps data scientists to infer.. Apache-2
- [GitHub](https://github.com/mckinsey/causalnex) (👨💻 40 · 🔀 250 · 📦 110 · 📋 140 - 16% open · ⏱️ 10.02.2024):
```
git clone https://github.com/quantumblacklabs/causalnex
```
- [PyPi](https://pypi.org/project/causalnex) (📥 2.1K / month · 📦 4 · ⏱️ 22.06.2023):
```
pip install causalnex
```
aequitas (🥉25 · ⭐ 640) - Bias Auditing & Fair ML Toolkit. MIT
- [GitHub](https://github.com/dssg/aequitas) (👨💻 21 · 🔀 110 · 📦 160 · 📋 100 - 54% open · ⏱️ 13.05.2024):
```
git clone https://github.com/dssg/aequitas
```
- [PyPi](https://pypi.org/project/aequitas) (📥 22K / month · 📦 7 · ⏱️ 30.01.2024):
```
pip install aequitas
```
checklist (🥉24 · ⭐ 2K · 💤) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT
- [GitHub](https://github.com/marcotcr/checklist) (👨💻 15 · 🔀 200 · 📦 350 · 📋 94 - 11% open · ⏱️ 26.09.2023):
```
git clone https://github.com/marcotcr/checklist
```
- [PyPi](https://pypi.org/project/checklist) (📥 1.3K / month · 📦 8 · ⏱️ 24.05.2021):
```
pip install checklist
```
- [Conda](https://anaconda.org/conda-forge/checklist) (📥 7.2K · ⏱️ 16.06.2023):
```
conda install -c conda-forge checklist
```
iNNvestigate (🥉24 · ⭐ 1.2K · 💤) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
- [GitHub](https://github.com/albermax/innvestigate) (👨💻 20 · 🔀 240 · 📥 100 · 📦 130 · 📋 260 - 21% open · ⏱️ 12.10.2023):
```
git clone https://github.com/albermax/innvestigate
```
- [PyPi](https://pypi.org/project/innvestigate) (📥 800 / month · 📦 2 · ⏱️ 12.10.2023):
```
pip install innvestigate
```
Explainability 360 (🥉23 · ⭐ 1.5K) - Interpretability and explainability of data and.. Apache-2
- [GitHub](https://github.com/Trusted-AI/AIX360) (👨💻 41 · 🔀 300 · 📦 90 · 📋 84 - 64% open · ⏱️ 05.03.2024):
```
git clone https://github.com/Trusted-AI/AIX360
```
- [PyPi](https://pypi.org/project/aix360) (📥 490 / month · 📦 1 · ⏱️ 31.07.2023):
```
pip install aix360
```
keract (🥉23 · ⭐ 1K · 💤) - Layers Outputs and Gradients in Keras. Made easy. MIT
- [GitHub](https://github.com/philipperemy/keract) (👨💻 16 · 🔀 180 · 📦 210 · 📋 89 - 3% open · ⏱️ 17.11.2023):
```
git clone https://github.com/philipperemy/keract
```
- [PyPi](https://pypi.org/project/keract) (📥 5K / month · 📦 9 · ⏱️ 25.09.2022):
```
pip install keract
```
What-If Tool (🥉22 · ⭐ 890) - Source code/webpage/demos for the What-If Tool. Apache-2
- [GitHub](https://github.com/PAIR-code/what-if-tool) (👨💻 20 · 🔀 160 · 📦 2 · 📋 140 - 60% open · ⏱️ 01.02.2024):
```
git clone https://github.com/PAIR-code/what-if-tool
```
- [PyPi](https://pypi.org/project/witwidget) (📥 3.4K / month · 📦 6 · ⏱️ 12.10.2021):
```
pip install witwidget
```
- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (📥 2.2M · ⏱️ 16.06.2023):
```
conda install -c conda-forge tensorboard-plugin-wit
```
- [npm](https://www.npmjs.com/package/wit-widget) (📥 1.1K / month · 📦 3 · ⏱️ 12.10.2021):
```
npm install wit-widget
```
ecco (🥉21 · ⭐ 1.9K · 💤) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
- [GitHub](https://github.com/jalammar/ecco) (👨💻 11 · 🔀 160 · 📥 94 · 📦 28 · 📋 63 - 50% open · ⏱️ 10.08.2023):
```
git clone https://github.com/jalammar/ecco
```
- [PyPi](https://pypi.org/project/ecco) (📥 300 / month · 📦 1 · ⏱️ 09.01.2022):
```
pip install ecco
```
- [Conda](https://anaconda.org/conda-forge/ecco) (📥 4.7K · ⏱️ 16.06.2023):
```
conda install -c conda-forge ecco
```
DiCE (🥉21 · ⭐ 1.3K) - Generate Diverse Counterfactual Explanations for any machine.. MIT
- [GitHub](https://github.com/interpretml/DiCE) (👨💻 19 · 🔀 180 · 📋 170 - 45% open · ⏱️ 17.04.2024):
```
git clone https://github.com/interpretml/DiCE
```
- [PyPi](https://pypi.org/project/dice-ml) (📥 55K / month · 📦 6 · ⏱️ 27.10.2023):
```
pip install dice-ml
```
model-card-toolkit (🥉21 · ⭐ 400 · 💤) - A toolkit that streamlines and automates the.. Apache-2
- [GitHub](https://github.com/tensorflow/model-card-toolkit) (👨💻 22 · 🔀 83 · 📥 18 · 📦 23 · 📋 33 - 30% open · ⏱️ 26.07.2023):
```
git clone https://github.com/tensorflow/model-card-toolkit
```
- [PyPi](https://pypi.org/project/model-card-toolkit) (📥 1.2K / month · 📦 1 · ⏱️ 28.04.2022):
```
pip install model-card-toolkit
```
LOFO (🥉19 · ⭐ 810) - Leave One Feature Out Importance. MIT
- [GitHub](https://github.com/aerdem4/lofo-importance) (👨💻 6 · 🔀 82 · 📦 28 · 📋 26 - 11% open · ⏱️ 16.01.2024):
```
git clone https://github.com/aerdem4/lofo-importance
```
- [PyPi](https://pypi.org/project/lofo-importance) (📥 4.2K / month · 📦 4 · ⏱️ 16.01.2024):
```
pip install lofo-importance
```
fairness-indicators (🥉19 · ⭐ 330) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
- [GitHub](https://github.com/tensorflow/fairness-indicators) (👨💻 36 · 🔀 77 · 📋 35 - 74% open · ⏱️ 26.04.2024):
```
git clone https://github.com/tensorflow/fairness-indicators
```
- [PyPi](https://pypi.org/project/fairness-indicators) (📥 780 / month · ⏱️ 26.04.2024):
```
pip install fairness-indicators
```
FlashTorch (🥉15 · ⭐ 720 · 💤) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT
- [GitHub](https://github.com/MisaOgura/flashtorch) (👨💻 2 · 🔀 87 · 📦 17 · 📋 32 - 31% open · ⏱️ 21.09.2023):
```
git clone https://github.com/MisaOgura/flashtorch
```
- [PyPi](https://pypi.org/project/flashtorch) (📥 130 / month · ⏱️ 29.05.2020):
```
pip install flashtorch
```
ExplainX.ai (🥉15 · ⭐ 400 · 📉) - Explainable AI framework for data scientists. Explain & debug any.. MIT
- [GitHub](https://github.com/explainX/explainx) (👨💻 5 · 🔀 53 · 📥 16 · 📋 39 - 25% open · ⏱️ 15.01.2024):
```
git clone https://github.com/explainX/explainx
```
- [PyPi](https://pypi.org/project/explainx) (📥 1.1K / month · ⏱️ 04.02.2021):
```
pip install explainx
```
interpret-text (🥉14 · ⭐ 400) - A library that incorporates state-of-the-art explainers for.. MIT
- [GitHub](https://github.com/interpretml/interpret-text) (👨💻 18 · 🔀 67 · 📋 100 - 84% open · ⏱️ 05.02.2024):
```
git clone https://github.com/interpretml/interpret-text
```
- [PyPi](https://pypi.org/project/interpret-text) (📥 97 / month · ⏱️ 07.12.2021):
```
pip install interpret-text
```
Show 21 hidden projects...
- Lime (🥇33 · ⭐ 11K · 💀) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
- Deep Checks (🥈29 · ⭐ 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0
- scikit-plot (🥈28 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to.. MIT
- Alibi (🥈28 · ⭐ 2.3K) - Algorithms for explaining machine learning models. ❗️Intel
- DALEX (🥈27 · ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0
- eli5 (🥉26 · ⭐ 2.7K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT
- Lucid (🥉25 · ⭐ 4.6K · 💀) - A collection of infrastructure and tools for research in.. Apache-2
- keras-vis (🥉25 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras. MIT
- tf-explain (🥉23 · ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow.. MIT
- random-forest-importances (🥉22 · ⭐ 590 · 💀) - Code to compute permutation and drop-column.. MIT
- deeplift (🥉21 · ⭐ 800 · 💀) - Public facing deeplift repo. MIT
- TreeInterpreter (🥉21 · ⭐ 740 · 💀) - Package for interpreting scikit-learns decision tree.. BSD-3
- Quantus (🥉21 · ⭐ 510) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0
- tcav (🥉20 · ⭐ 620 · 💀) - Code for the TCAV ML interpretability project. Apache-2
- XAI (🥉18 · ⭐ 1.1K · 💀) - XAI - An eXplainability toolbox for machine learning. MIT
- sklearn-evaluation (🥉18 · ⭐ 430 · 💀) - Machine learning model evaluation made easy: plots,.. MIT
- Anchor (🥉16 · ⭐ 790 · 💀) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
- Skater (🥉14 · ⭐ 1.1K · 💤) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0
- Attribution Priors (🥉12 · ⭐ 120 · 💀) - Tools for training explainable models using.. MIT
- contextual-ai (🥉12 · ⭐ 85 · 💀) - Contextual AI adds explainability to different stages of.. Apache-2
- bias-detector (🥉12 · ⭐ 44) - Bias Detector is a python package for detecting bias in machine.. MIT
## Vector Similarity Search (ANN)
_Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._
🔗 ANN Benchmarks ( ⭐ 4.7K) - Benchmarks of approximate nearest neighbor libraries in Python.
Milvus (🥇41 · ⭐ 28K) - A cloud-native vector database, storage for next generation AI.. Apache-2
- [GitHub](https://github.com/milvus-io/milvus) (👨💻 280 · 🔀 2.7K · 📥 230K · 📋 11K - 7% open · ⏱️ 06.06.2024):
```
git clone https://github.com/milvus-io/milvus
```
- [PyPi](https://pypi.org/project/pymilvus) (📥 550K / month · 📦 120 · ⏱️ 17.05.2024):
```
pip install pymilvus
```
- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 17M · ⭐ 45 · ⏱️ 06.06.2024):
```
docker pull milvusdb/milvus
```
Faiss (🥇40 · ⭐ 29K) - A library for efficient similarity search and clustering of dense vectors. MIT
- [GitHub](https://github.com/facebookresearch/faiss) (👨💻 180 · 🔀 3.4K · 📦 3.7K · 📋 2.4K - 18% open · ⏱️ 05.06.2024):
```
git clone https://github.com/facebookresearch/faiss
```
- [PyPi](https://pypi.org/project/pymilvus) (📥 550K / month · 📦 120 · ⏱️ 17.05.2024):
```
pip install pymilvus
```
- [Conda](https://anaconda.org/conda-forge/faiss) (📥 1.2M · ⏱️ 16.06.2023):
```
conda install -c conda-forge faiss
```
Annoy (🥈35 · ⭐ 13K · 💤) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2
- [GitHub](https://github.com/spotify/annoy) (👨💻 88 · 🔀 1.1K · 📦 3.9K · 📋 400 - 14% open · ⏱️ 20.08.2023):
```
git clone https://github.com/spotify/annoy
```
- [PyPi](https://pypi.org/project/annoy) (📥 1.1M / month · 📦 190 · ⏱️ 14.06.2023):
```
pip install annoy
```
- [Conda](https://anaconda.org/conda-forge/python-annoy) (📥 420K · ⏱️ 02.05.2024):
```
conda install -c conda-forge python-annoy
```
hnswlib (🥈32 · ⭐ 4.1K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2
- [GitHub](https://github.com/nmslib/hnswlib) (👨💻 72 · 🔀 590 · 📦 6.5K · 📋 370 - 57% open · ⏱️ 03.12.2023):
```
git clone https://github.com/nmslib/hnswlib
```
- [PyPi](https://pypi.org/project/hnswlib) (📥 850K / month · 📦 120 · ⏱️ 03.12.2023):
```
pip install hnswlib
```
- [Conda](https://anaconda.org/conda-forge/hnswlib) (📥 170K · ⏱️ 27.09.2023):
```
conda install -c conda-forge hnswlib
```
USearch (🥉30 · ⭐ 1.8K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2
- [GitHub](https://github.com/unum-cloud/usearch) (👨💻 36 · 🔀 100 · 📥 1.3K · 📦 80 · 📋 120 - 34% open · ⏱️ 29.04.2024):
```
git clone https://github.com/unum-cloud/usearch
```
- [PyPi](https://pypi.org/project/usearch) (📥 63K / month · 📦 6 · ⏱️ 29.04.2024):
```
pip install usearch
```
- [npm](https://www.npmjs.com/package/usearch) (📥 6K / month · 📦 14 · ⏱️ 10.04.2024):
```
npm install usearch
```
- [Docker Hub](https://hub.docker.com/r/unum/usearch) (📥 75 · ⭐ 1 · ⏱️ 29.04.2024):
```
docker pull unum/usearch
```
PyNNDescent (🥉29 · ⭐ 860) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
- [GitHub](https://github.com/lmcinnes/pynndescent) (👨💻 29 · 🔀 100 · 📦 6.6K · 📋 140 - 52% open · ⏱️ 15.05.2024):
```
git clone https://github.com/lmcinnes/pynndescent
```
- [PyPi](https://pypi.org/project/pynndescent) (📥 1.5M / month · 📦 140 · ⏱️ 29.03.2024):
```
pip install pynndescent
```
- [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 1.9M · ⏱️ 29.03.2024):
```
conda install -c conda-forge pynndescent
```
NGT (🥉22 · ⭐ 1.2K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
- [GitHub](https://github.com/yahoojapan/NGT) (👨💻 14 · 🔀 110 · 📋 130 - 12% open · ⏱️ 13.05.2024):
```
git clone https://github.com/yahoojapan/NGT
```
- [PyPi](https://pypi.org/project/ngt) (📥 5.1K / month · 📦 8 · ⏱️ 06.12.2023):
```
pip install ngt
```
N2 (🥉19 · ⭐ 570 · 💤) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2
- [GitHub](https://github.com/kakao/n2) (👨💻 20 · 🔀 75 · 📦 31 · 📋 35 - 37% open · ⏱️ 27.06.2023):
```
git clone https://github.com/kakao/n2
```
- [PyPi](https://pypi.org/project/n2) (📥 230 / month · 📦 4 · ⏱️ 16.10.2020):
```
pip install n2
```
Show 4 hidden projects...
- NMSLIB (🥈31 · ⭐ 3.3K · 💀) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
- Magnitude (🥉22 · ⭐ 1.6K · 💀) - A fast, efficient universal vector embedding utility package. MIT
- NearPy (🥉20 · ⭐ 760 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. MIT
- PySparNN (🥉11 · ⭐ 920 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3
## Probabilistics & Statistics
_Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._
PyMC3 (🥇41 · ⭐ 8.2K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
- [GitHub](https://github.com/pymc-devs/pymc) (👨💻 490 · 🔀 1.9K · 📥 1.9K · 📦 3.4K · 📋 3.3K - 8% open · ⏱️ 05.06.2024):
```
git clone https://github.com/pymc-devs/pymc
```
- [PyPi](https://pypi.org/project/pymc3) (📥 900K / month · 📦 190 · ⏱️ 31.05.2024):
```
pip install pymc3
```
- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 570K · ⏱️ 02.06.2024):
```
conda install -c conda-forge pymc3
```
tensorflow-probability (🥇38 · ⭐ 4.1K) - Probabilistic reasoning and statistical analysis in.. Apache-2
- [GitHub](https://github.com/tensorflow/probability) (👨💻 490 · 🔀 1.1K · 📋 1.4K - 47% open · ⏱️ 24.05.2024):
```
git clone https://github.com/tensorflow/probability
```
- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 3.3M / month · 📦 570 · ⏱️ 12.03.2024):
```
pip install tensorflow-probability
```
- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 130K · ⏱️ 27.05.2024):
```
conda install -c conda-forge tensorflow-probability
```
Pyro (🥇34 · ⭐ 8.4K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
- [GitHub](https://github.com/pyro-ppl/pyro) (👨💻 160 · 🔀 990 · 📋 1.1K - 23% open · ⏱️ 01.06.2024):
```
git clone https://github.com/pyro-ppl/pyro
```
- [PyPi](https://pypi.org/project/pyro-ppl) (📥 290K / month · 📦 180 · ⏱️ 02.06.2024):
```
pip install pyro-ppl
```
- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 170K · ⏱️ 03.06.2024):
```
conda install -c conda-forge pyro-ppl
```
pgmpy (🥈32 · ⭐ 2.6K) - Python Library for learning (Structure and Parameter), inference.. MIT
- [GitHub](https://github.com/pgmpy/pgmpy) (👨💻 130 · 🔀 690 · 📥 360 · 📦 1K · 📋 900 - 30% open · ⏱️ 01.06.2024):
```
git clone https://github.com/pgmpy/pgmpy
```
- [PyPi](https://pypi.org/project/pgmpy) (📥 52K / month · 📦 43 · ⏱️ 08.03.2024):
```
pip install pgmpy
```
GPyTorch (🥈31 · ⭐ 3.4K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT
- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨💻 130 · 🔀 540 · 📦 2.1K · 📋 1.3K - 26% open · ⏱️ 22.04.2024):
```
git clone https://github.com/cornellius-gp/gpytorch
```
- [PyPi](https://pypi.org/project/gpytorch) (📥 240K / month · 📦 150 · ⏱️ 02.06.2023):
```
pip install gpytorch
```
- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 160K · ⏱️ 11.08.2023):
```
conda install -c conda-forge gpytorch
```
emcee (🥈31 · ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
- [GitHub](https://github.com/dfm/emcee) (👨💻 74 · 🔀 430 · 📦 2.4K · 📋 300 - 18% open · ⏱️ 02.05.2024):
```
git clone https://github.com/dfm/emcee
```
- [PyPi](https://pypi.org/project/emcee) (📥 130K / month · 📦 390 · ⏱️ 19.04.2024):
```
pip install emcee
```
- [Conda](https://anaconda.org/conda-forge/emcee) (📥 340K · ⏱️ 22.04.2024):
```
conda install -c conda-forge emcee
```
patsy (🥈31 · ⭐ 930) - Describing statistical models in Python using symbolic formulas. BSD-2
- [GitHub](https://github.com/pydata/patsy) (👨💻 19 · 🔀 100 · 📦 97K · 📋 150 - 47% open · ⏱️ 04.01.2024):
```
git clone https://github.com/pydata/patsy
```
- [PyPi](https://pypi.org/project/patsy) (📥 15M / month · 📦 480 · ⏱️ 04.01.2024):
```
pip install patsy
```
- [Conda](https://anaconda.org/conda-forge/patsy) (📥 11M · ⏱️ 05.01.2024):
```
conda install -c conda-forge patsy
```
SALib (🥈31 · ⭐ 840) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
- [GitHub](https://github.com/SALib/SALib) (👨💻 46 · 🔀 230 · 📦 1.1K · 📋 320 - 15% open · ⏱️ 22.04.2024):
```
git clone https://github.com/SALib/SALib
```
- [PyPi](https://pypi.org/project/salib) (📥 160K / month · 📦 120 · ⏱️ 22.04.2024):
```
pip install salib
```
- [Conda](https://anaconda.org/conda-forge/salib) (📥 160K · ⏱️ 22.04.2024):
```
conda install -c conda-forge salib
```
pomegranate (🥉30 · ⭐ 3.3K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
- [GitHub](https://github.com/jmschrei/pomegranate) (👨💻 73 · 🔀 570 · 📦 1.1K · 📋 760 - 6% open · ⏱️ 11.03.2024):
```
git clone https://github.com/jmschrei/pomegranate
```
- [PyPi](https://pypi.org/project/pomegranate) (📥 28K / month · 📦 54 · ⏱️ 11.03.2024):
```
pip install pomegranate
```
- [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 150K · ⏱️ 10.12.2023):
```
conda install -c conda-forge pomegranate
```
hmmlearn (🥉30 · ⭐ 3K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨💻 48 · 🔀 740 · 📦 2.6K · 📋 440 - 14% open · ⏱️ 05.04.2024):
```
git clone https://github.com/hmmlearn/hmmlearn
```
- [PyPi](https://pypi.org/project/hmmlearn) (📥 210K / month · 📦 79 · ⏱️ 02.03.2024):
```
pip install hmmlearn
```
- [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 230K · ⏱️ 22.05.2024):
```
conda install -c conda-forge hmmlearn
```
GPflow (🥉30 · ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2
- [GitHub](https://github.com/GPflow/GPflow) (👨💻 84 · 🔀 440 · 📦 660 · 📋 830 - 17% open · ⏱️ 06.05.2024):
```
git clone https://github.com/GPflow/GPflow
```
- [PyPi](https://pypi.org/project/gpflow) (📥 62K / month · 📦 37 · ⏱️ 07.02.2024):
```
pip install gpflow
```
- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 27K · ⏱️ 16.06.2023):
```
conda install -c conda-forge gpflow
```
PyStan (🥉29 · ⭐ 320) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC
- [GitHub](https://github.com/stan-dev/pystan) (👨💻 14 · 🔀 58 · 📦 9.8K · 📋 200 - 6% open · ⏱️ 12.04.2024):
```
git clone https://github.com/stan-dev/pystan
```
- [PyPi](https://pypi.org/project/pystan) (📥 2M / month · 📦 160 · ⏱️ 12.04.2024):
```
pip install pystan
```
- [Conda](https://anaconda.org/conda-forge/pystan) (📥 2.8M · ⏱️ 16.06.2023):
```
conda install -c conda-forge pystan
```
Orbit (🥉26 · ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2
- [GitHub](https://github.com/uber/orbit) (👨💻 20 · 🔀 140 · 📦 57 · 📋 400 - 12% open · ⏱️ 31.03.2024):
```
git clone https://github.com/uber/orbit
```
- [PyPi](https://pypi.org/project/orbit-ml) (📥 21K / month · 📦 1 · ⏱️ 01.04.2024):
```
pip install orbit-ml
```
bambi (🥉25 · ⭐ 1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT
- [GitHub](https://github.com/bambinos/bambi) (👨💻 37 · 🔀 120 · 📦 120 · 📋 400 - 18% open · ⏱️ 02.06.2024):
```
git clone https://github.com/bambinos/bambi
```
- [PyPi](https://pypi.org/project/bambi) (📥 21K / month · 📦 10 · ⏱️ 25.10.2023):
```
pip install bambi
```
- [Conda](https://anaconda.org/conda-forge/bambi) (📥 32K · ⏱️ 27.10.2023):
```
conda install -c conda-forge bambi
```
Baal (🥉24 · ⭐ 840) - Bayesian active learning library for research and industrial usecases. Apache-2
- [GitHub](https://github.com/baal-org/baal) (👨💻 23 · 🔀 83 · 📦 56 · 📋 110 - 21% open · ⏱️ 28.05.2024):
```
git clone https://github.com/baal-org/baal
```
- [PyPi](https://pypi.org/project/baal) (📥 1.3K / month · 📦 1 · ⏱️ 04.04.2024):
```
pip install baal
```
- [Conda](https://anaconda.org/conda-forge/baal) (📥 8.5K · ⏱️ 12.06.2023):
```
conda install -c conda-forge baal
```
scikit-posthocs (🥉24 · ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
- [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨💻 14 · 🔀 39 · 📥 46 · 📦 720 · 📋 54 - 11% open · ⏱️ 18.02.2024):
```
git clone https://github.com/maximtrp/scikit-posthocs
```
- [PyPi](https://pypi.org/project/scikit-posthocs) (📥 98K / month · 📦 46 · ⏱️ 18.02.2024):
```
pip install scikit-posthocs
```
- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (📥 930K · ⏱️ 19.02.2024):
```
conda install -c conda-forge scikit-posthocs
```
Show 7 hidden projects...
- pandas-ta (🥈31 · ⭐ 4.9K · 💀) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
- filterpy (🥈31 · ⭐ 3.2K · 💀) - Python Kalman filtering and optimal estimation library. Implements.. MIT
- pingouin (🥉30 · ⭐ 1.6K) - Statistical package in Python based on Pandas. ❗️GPL-3.0
- Edward (🥉27 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2
- pyhsmm (🥉20 · ⭐ 540 · 💀) - Bayesian inference in HSMMs and HMMs. MIT
- Funsor (🥉19 · ⭐ 230 · 💤) - Functional tensors for probabilistic programming. Apache-2
- ZhuSuan (🥉15 · ⭐ 2.2K · 💀) - A probabilistic programming library for Bayesian deep learning,.. MIT
## Adversarial Robustness
_Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._
ART (🥇34 · ⭐ 4.6K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨💻 140 · 🔀 1.1K · 📦 530 · 📋 900 - 16% open · ⏱️ 06.05.2024):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
```
- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 24K / month · 📦 11 · ⏱️ 17.02.2024):
```
pip install adversarial-robustness-toolbox
```
- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 40K · ⏱️ 18.02.2024):
```
conda install -c conda-forge adversarial-robustness-toolbox
```
TextAttack (🥈29 · ⭐ 2.8K) - TextAttack is a Python framework for adversarial attacks, data.. MIT
- [GitHub](https://github.com/QData/TextAttack) (👨💻 65 · 🔀 370 · 📦 260 · 📋 270 - 19% open · ⏱️ 31.03.2024):
```
git clone https://github.com/QData/TextAttack
```
- [PyPi](https://pypi.org/project/textattack) (📥 3.2K / month · 📦 6 · ⏱️ 11.03.2024):
```
pip install textattack
```
- [Conda](https://anaconda.org/conda-forge/textattack) (📥 7.6K · ⏱️ 16.06.2023):
```
conda install -c conda-forge textattack
```
Foolbox (🥈29 · ⭐ 2.7K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT
- [GitHub](https://github.com/bethgelab/foolbox) (👨💻 35 · 🔀 420 · 📦 580 · 📋 370 - 5% open · ⏱️ 04.03.2024):
```
git clone https://github.com/bethgelab/foolbox
```
- [PyPi](https://pypi.org/project/foolbox) (📥 2.6K / month · 📦 14 · ⏱️ 04.03.2024):
```
pip install foolbox
```
- [Conda](https://anaconda.org/conda-forge/foolbox) (📥 13K · ⏱️ 16.06.2023):
```
conda install -c conda-forge foolbox
```
Show 6 hidden projects...
- CleverHans (🥈30 · ⭐ 6.1K · 💀) - An adversarial example library for constructing attacks,.. MIT
- advertorch (🥉22 · ⭐ 1.3K · 💀) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0
- AdvBox (🥉18 · ⭐ 1.4K · 💀) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2
- robustness (🥉18 · ⭐ 890 · 💀) - A library for experimenting with, training and evaluating neural.. MIT
- textflint (🥉16 · ⭐ 630 · 💀) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0
- Adversary (🥉15 · ⭐ 390 · 💀) - Tool to generate adversarial text examples and test machine.. MIT
## GPU & Accelerator Utilities
_Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._
CuPy (🥇37 · ⭐ 7.9K) - NumPy & SciPy for GPU. MIT
- [GitHub](https://github.com/cupy/cupy) (👨💻 370 · 🔀 780 · 📥 180K · 📦 2.1K · 📋 2.2K - 25% open · ⏱️ 06.06.2024):
```
git clone https://github.com/cupy/cupy
```
- [PyPi](https://pypi.org/project/cupy) (📥 23K / month · 📦 220 · ⏱️ 19.04.2024):
```
pip install cupy
```
- [Conda](https://anaconda.org/conda-forge/cupy) (📥 3.7M · ⏱️ 29.04.2024):
```
conda install -c conda-forge cupy
```
- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 63K · ⭐ 13 · ⏱️ 19.04.2024):
```
docker pull cupy/cupy
```
optimum (🥇34 · ⭐ 2.2K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
- [GitHub](https://github.com/huggingface/optimum) (👨💻 110 · 🔀 380 · 📦 2.6K · 📋 750 - 47% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/optimum
```
- [PyPi](https://pypi.org/project/optimum) (📥 930K / month · 📦 140 · ⏱️ 29.05.2024):
```
pip install optimum
```
- [Conda](https://anaconda.org/conda-forge/optimum) (📥 15K · ⏱️ 29.05.2024):
```
conda install -c conda-forge optimum
```
cuDF (🥈33 · ⭐ 7.8K) - cuDF - GPU DataFrame Library. Apache-2
- [GitHub](https://github.com/rapidsai/cudf) (👨💻 290 · 🔀 850 · 📦 55 · 📋 6.4K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/rapidsai/cudf
```
- [PyPi](https://pypi.org/project/cudf) (📥 3.5K / month · 📦 17 · ⏱️ 01.06.2020):
```
pip install cudf
```
cuML (🥈31 · ⭐ 4K) - cuML - RAPIDS Machine Learning Library. Apache-2
- [GitHub](https://github.com/rapidsai/cuml) (👨💻 170 · 🔀 510 · 📋 2.5K - 35% open · ⏱️ 06.06.2024):
```
git clone https://github.com/rapidsai/cuml
```
- [PyPi](https://pypi.org/project/cuml) (📥 3.4K / month · 📦 13 · ⏱️ 01.06.2020):
```
pip install cuml
```
PyCUDA (🥈31 · ⭐ 1.8K) - CUDA integration for Python, plus shiny features. MIT
- [GitHub](https://github.com/inducer/pycuda) (👨💻 82 · 🔀 280 · 📦 2.9K · 📋 260 - 30% open · ⏱️ 08.05.2024):
```
git clone https://github.com/inducer/pycuda
```
- [PyPi](https://pypi.org/project/pycuda) (📥 53K / month · 📦 140 · ⏱️ 03.01.2024):
```
pip install pycuda
```
- [Conda](https://anaconda.org/conda-forge/pycuda) (📥 350K · ⏱️ 06.01.2024):
```
conda install -c conda-forge pycuda
```
Apex (🥈30 · ⭐ 8.1K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
- [GitHub](https://github.com/NVIDIA/apex) (👨💻 130 · 🔀 1.3K · 📦 2.5K · 📋 1.2K - 57% open · ⏱️ 26.04.2024):
```
git clone https://github.com/NVIDIA/apex
```
- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 220K · ⏱️ 17.05.2024):
```
conda install -c conda-forge nvidia-apex
```
gpustat (🥈29 · ⭐ 3.9K) - A simple command-line utility for querying and monitoring GPU status. MIT
- [GitHub](https://github.com/wookayin/gpustat) (👨💻 17 · 🔀 270 · 📦 5.4K · 📋 120 - 22% open · ⏱️ 12.01.2024):
```
git clone https://github.com/wookayin/gpustat
```
- [PyPi](https://pypi.org/project/gpustat) (📥 780K / month · 📦 140 · ⏱️ 22.08.2023):
```
pip install gpustat
```
- [Conda](https://anaconda.org/conda-forge/gpustat) (📥 290K · ⏱️ 23.08.2023):
```
conda install -c conda-forge gpustat
```
ArrayFire (🥈27 · ⭐ 4.4K) - ArrayFire: a general purpose GPU library. BSD-3
- [GitHub](https://github.com/arrayfire/arrayfire) (👨💻 90 · 🔀 530 · 📥 6.2K · 📋 1.7K - 20% open · ⏱️ 04.04.2024):
```
git clone https://github.com/arrayfire/arrayfire
```
- [PyPi](https://pypi.org/project/arrayfire) (📥 1.8K / month · 📦 10 · ⏱️ 22.02.2022):
```
pip install arrayfire
```
cuGraph (🥈27 · ⭐ 1.6K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
- [GitHub](https://github.com/rapidsai/cugraph) (👨💻 120 · 🔀 290 · 📦 2 · 📋 1.8K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/rapidsai/cugraph
```
- [PyPi](https://pypi.org/project/cugraph) (📥 270 / month · 📦 4 · ⏱️ 01.06.2020):
```
pip install cugraph
```
- [Conda](https://anaconda.org/conda-forge/libcugraph) (📥 20K · ⏱️ 16.06.2023):
```
conda install -c conda-forge libcugraph
```
DALI (🥉25 · ⭐ 5K) - A GPU-accelerated library containing highly optimized building blocks and.. Apache-2
- [GitHub](https://github.com/NVIDIA/DALI) (👨💻 92 · 🔀 610 · 📋 1.6K - 13% open · ⏱️ 06.06.2024):
```
git clone https://github.com/NVIDIA/DALI
```
scikit-cuda (🥉24 · ⭐ 970 · 💤) - Python interface to GPU-powered libraries. BSD-3
- [GitHub](https://github.com/lebedov/scikit-cuda) (👨💻 44 · 🔀 170 · 📦 300 · 📋 220 - 23% open · ⏱️ 15.10.2023):
```
git clone https://github.com/lebedov/scikit-cuda
```
- [PyPi](https://pypi.org/project/scikit-cuda) (📥 790 / month · 📦 23 · ⏱️ 27.05.2019):
```
pip install scikit-cuda
```
Vulkan Kompute (🥉21 · ⭐ 1.5K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
- [GitHub](https://github.com/KomputeProject/kompute) (👨💻 26 · 🔀 120 · 📥 500 · 📋 210 - 33% open · ⏱️ 29.05.2024):
```
git clone https://github.com/KomputeProject/kompute
```
- [PyPi](https://pypi.org/project/kp) (📥 120 / month · ⏱️ 20.01.2024):
```
pip install kp
```
Merlin (🥉20 · ⭐ 700) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨💻 32 · 🔀 110 · 📋 450 - 45% open · ⏱️ 25.04.2024):
```
git clone https://github.com/NVIDIA-Merlin/Merlin
```
- [PyPi](https://pypi.org/project/merlin-core) (📥 7.4K / month · 📦 1 · ⏱️ 29.08.2023):
```
pip install merlin-core
```
cuSignal (🥉16 · ⭐ 710 · 💤) - GPU accelerated signal processing. Apache-2
- [GitHub](https://github.com/rapidsai/cusignal) (👨💻 46 · 🔀 120 · 📋 160 - 16% open · ⏱️ 21.09.2023):
```
git clone https://github.com/rapidsai/cusignal
```
Show 6 hidden projects...
- GPUtil (🥉24 · ⭐ 1.1K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT
- py3nvml (🥉22 · ⭐ 230 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3
- BlazingSQL (🥉20 · ⭐ 1.9K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
- nvidia-ml-py3 (🥉18 · ⭐ 130 · 💀) - Python 3 Bindings for the NVIDIA Management Library. BSD-3
- ipyexperiments (🥉16 · ⭐ 200) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2
- SpeedTorch (🥉15 · ⭐ 680 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT
## Tensorflow Utilities
_Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (🥇40 · ⭐ 4.2K) - TFDS is a collection of datasets ready to use with.. Apache-2
- [GitHub](https://github.com/tensorflow/datasets) (👨💻 310 · 🔀 1.5K · 📦 18K · 📋 1.4K - 48% open · ⏱️ 06.06.2024):
```
git clone https://github.com/tensorflow/datasets
```
- [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 3.6M / month · 📦 310 · ⏱️ 05.06.2024):
```
pip install tensorflow-datasets
```
- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 30K · ⏱️ 16.06.2023):
```
conda install -c conda-forge tensorflow-datasets
```
tensorflow-hub (🥇35 · ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2
- [GitHub](https://github.com/tensorflow/hub) (👨💻 110 · 🔀 1.7K · 📋 700 - 1% open · ⏱️ 05.06.2024):
```
git clone https://github.com/tensorflow/hub
```
- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 4.8M / month · 📦 290 · ⏱️ 30.01.2024):
```
pip install tensorflow-hub
```
- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 98K · ⏱️ 07.05.2024):
```
conda install -c conda-forge tensorflow-hub
```
TF Addons (🥈33 · ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2
- [GitHub](https://github.com/tensorflow/addons) (👨💻 210 · 🔀 610 · 📦 15K · 📋 990 - 8% open · ⏱️ 15.04.2024):
```
git clone https://github.com/tensorflow/addons
```
- [PyPi](https://pypi.org/project/tensorflow-addons) (📥 1M / month · 📦 220 · ⏱️ 28.11.2023):
```
pip install tensorflow-addons
```
TF Model Optimization (🥈33 · ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2
- [GitHub](https://github.com/tensorflow/model-optimization) (👨💻 85 · 🔀 320 · 📦 3.8K · 📋 380 - 56% open · ⏱️ 02.05.2024):
```
git clone https://github.com/tensorflow/model-optimization
```
- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 840K / month · 📦 43 · ⏱️ 08.02.2024):
```
pip install tensorflow-model-optimization
```
TFX (🥈32 · ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
- [GitHub](https://github.com/tensorflow/tfx) (👨💻 190 · 🔀 690 · 📋 1.1K - 21% open · ⏱️ 06.06.2024):
```
git clone https://github.com/tensorflow/tfx
```
- [PyPi](https://pypi.org/project/tfx) (📥 69K / month · 📦 17 · ⏱️ 13.05.2024):
```
pip install tfx
```
TensorFlow I/O (🥈32 · ⭐ 690) - Dataset, streaming, and file system extensions.. Apache-2
- [GitHub](https://github.com/tensorflow/io) (👨💻 110 · 🔀 280 · 📋 650 - 44% open · ⏱️ 24.05.2024):
```
git clone https://github.com/tensorflow/io
```
- [PyPi](https://pypi.org/project/tensorflow-io) (📥 3.3M / month · 📦 60 · ⏱️ 01.05.2024):
```
pip install tensorflow-io
```
TensorFlow Transform (🥉31 · ⭐ 980) - Input pipeline framework. Apache-2
- [GitHub](https://github.com/tensorflow/transform) (👨💻 28 · 🔀 210 · 📦 1.8K · 📋 220 - 20% open · ⏱️ 30.04.2024):
```
git clone https://github.com/tensorflow/transform
```
- [PyPi](https://pypi.org/project/tensorflow-transform) (📥 880K / month · 📦 17 · ⏱️ 24.04.2024):
```
pip install tensorflow-transform
```
Neural Structured Learning (🥉25 · ⭐ 980 · 💤) - Training neural models with structured signals. Apache-2
- [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨💻 38 · 🔀 190 · 📦 450 · 📋 69 - 1% open · ⏱️ 20.09.2023):
```
git clone https://github.com/tensorflow/neural-structured-learning
```
- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 17K / month · 📦 3 · ⏱️ 29.07.2022):
```
pip install neural-structured-learning
```
TensorFlow Cloud (🥉24 · ⭐ 370) - The TensorFlow Cloud repository provides APIs that.. Apache-2
- [GitHub](https://github.com/tensorflow/cloud) (👨💻 27 · 🔀 84 · 📦 400 · 📋 100 - 73% open · ⏱️ 25.02.2024):
```
git clone https://github.com/tensorflow/cloud
```
- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 44K / month · 📦 7 · ⏱️ 17.06.2021):
```
pip install tensorflow-cloud
```
TF Compression (🥉22 · ⭐ 830) - Data compression in TensorFlow. Apache-2
- [GitHub](https://github.com/tensorflow/compression) (👨💻 21 · 🔀 250 · 📋 100 - 9% open · ⏱️ 20.05.2024):
```
git clone https://github.com/tensorflow/compression
```
- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 4.2K / month · 📦 2 · ⏱️ 02.02.2024):
```
pip install tensorflow-compression
```
Saliency (🥉21 · ⭐ 930) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2
- [GitHub](https://github.com/PAIR-code/saliency) (👨💻 18 · 🔀 190 · 📦 85 · 📋 39 - 30% open · ⏱️ 20.03.2024):
```
git clone https://github.com/PAIR-code/saliency
```
- [PyPi](https://pypi.org/project/saliency) (📥 5.6K / month · 📦 8 · ⏱️ 20.03.2024):
```
pip install saliency
```
Show 5 hidden projects...
- tensor2tensor (🥈32 · ⭐ 15K · 💀) - Library of deep learning models and datasets designed.. Apache-2
- Keras-Preprocessing (🥉28 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and.. MIT
- efficientnet (🥉27 · ⭐ 2.1K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2
- TensorNets (🥉20 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. MIT
- tffm (🥉18 · ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT
## Jax Utilities
_Libraries that extend Jax with additional capabilities._
equinox (🥇30 · ⭐ 1.9K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
- [GitHub](https://github.com/patrick-kidger/equinox) (👨💻 52 · 🔀 130 · 📦 580 · 📋 360 - 33% open · ⏱️ 29.05.2024):
```
git clone https://github.com/patrick-kidger/equinox
```
- [PyPi](https://pypi.org/project/equinox) (📥 240K / month · 📦 130 · ⏱️ 14.04.2024):
```
pip install equinox
```
evojax (🥉19 · ⭐ 790 · 💤) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2
- [GitHub](https://github.com/google/evojax) (👨💻 14 · 🔀 71 · 📦 21 · 📋 33 - 48% open · ⏱️ 29.08.2023):
```
git clone https://github.com/google/evojax
```
- [PyPi](https://pypi.org/project/evojax) (📥 820 / month · 📦 5 · ⏱️ 29.08.2023):
```
pip install evojax
```
- [Conda](https://anaconda.org/conda-forge/evojax) (📥 25K · ⏱️ 29.08.2023):
```
conda install -c conda-forge evojax
```
Show 1 hidden projects...
- jaxdf (🥉11 · ⭐ 110 · 💤) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0
## Sklearn Utilities
_Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (🥇37 · ⭐ 6.7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨💻 84 · 🔀 1.3K · 📦 28K · 📋 600 - 6% open · ⏱️ 28.05.2024):
```
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 12M / month · 📦 400 · ⏱️ 28.05.2024):
```
pip install imbalanced-learn
```
- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 570K · ⏱️ 28.05.2024):
```
conda install -c conda-forge imbalanced-learn
```
scikit-learn-intelex (🥇35 · ⭐ 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2
- [GitHub](https://github.com/intel/scikit-learn-intelex) (👨💻 79 · 🔀 170 · 📦 11K · 📋 250 - 28% open · ⏱️ 06.06.2024):
```
git clone https://github.com/intel/scikit-learn-intelex
```
- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 100K / month · 📦 42 · ⏱️ 13.05.2024):
```
pip install scikit-learn-intelex
```
- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (📥 270K · ⏱️ 19.04.2024):
```
conda install -c conda-forge scikit-learn-intelex
```
MLxtend (🥈33 · ⭐ 4.8K) - A library of extension and helper modules for Pythons data.. BSD-3
- [GitHub](https://github.com/rasbt/mlxtend) (👨💻 110 · 🔀 840 · 📦 14K · 📋 480 - 29% open · ⏱️ 31.03.2024):
```
git clone https://github.com/rasbt/mlxtend
```
- [PyPi](https://pypi.org/project/mlxtend) (📥 630K / month · 📦 160 · ⏱️ 05.01.2024):
```
pip install mlxtend
```
- [Conda](https://anaconda.org/conda-forge/mlxtend) (📥 310K · ⏱️ 05.01.2024):
```
conda install -c conda-forge mlxtend
```
category_encoders (🥈31 · ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3
- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨💻 70 · 🔀 390 · 📦 1.8K · 📋 290 - 15% open · ⏱️ 09.04.2024):
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
- [PyPi](https://pypi.org/project/category_encoders) (📥 1.6M / month · 📦 240 · ⏱️ 29.10.2023):
```
pip install category_encoders
```
- [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 260K · ⏱️ 30.10.2023):
```
conda install -c conda-forge category_encoders
```
scikit-lego (🥈28 · ⭐ 1.2K) - Extra blocks for scikit-learn pipelines. MIT
- [GitHub](https://github.com/koaning/scikit-lego) (👨💻 67 · 🔀 110 · 📦 150 · 📋 310 - 11% open · ⏱️ 26.05.2024):
```
git clone https://github.com/koaning/scikit-lego
```
- [PyPi](https://pypi.org/project/scikit-lego) (📥 22K / month · 📦 11 · ⏱️ 25.05.2024):
```
pip install scikit-lego
```
- [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 49K · ⏱️ 04.06.2024):
```
conda install -c conda-forge scikit-lego
```
scikit-opt (🥉25 · ⭐ 5K · 💤) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
- [GitHub](https://github.com/guofei9987/scikit-opt) (👨💻 20 · 🔀 960 · 📦 200 · 📋 180 - 36% open · ⏱️ 19.11.2023):
```
git clone https://github.com/guofei9987/scikit-opt
```
- [PyPi](https://pypi.org/project/scikit-opt) (📥 3.9K / month · 📦 9 · ⏱️ 14.01.2022):
```
pip install scikit-opt
```
DESlib (🥉21 · ⭐ 470) - A Python library for dynamic classifier and ensemble selection. BSD-3
- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (👨💻 17 · 🔀 100 · 📦 47 · 📋 160 - 11% open · ⏱️ 15.04.2024):
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
- [PyPi](https://pypi.org/project/deslib) (📥 990 / month · 📦 3 · ⏱️ 12.04.2024):
```
pip install deslib
```
scikit-tda (🥉18 · ⭐ 500) - Topological Data Analysis for Python. MIT
- [GitHub](https://github.com/scikit-tda/scikit-tda) (👨💻 6 · 🔀 51 · 📦 56 · 📋 22 - 54% open · ⏱️ 30.03.2024):
```
git clone https://github.com/scikit-tda/scikit-tda
```
- [PyPi](https://pypi.org/project/scikit-tda) (📥 2.8K / month · ⏱️ 03.08.2021):
```
pip install scikit-tda
```
Show 11 hidden projects...
- scikit-survival (🥈29 · ⭐ 1.1K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0
- scikit-multilearn (🥈27 · ⭐ 910 · 💀) - A scikit-learn based module for multi-label et. al... BSD-2
- fancyimpute (🥈26 · ⭐ 1.2K · 💀) - Multivariate imputation and matrix completion.. Apache-2
- sklearn-crfsuite (🥈26 · ⭐ 420 · 💀) - scikit-learn inspired API for CRFsuite. MIT
- sklearn-contrib-lightning (🥉22 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and.. BSD-3
- iterative-stratification (🥉21 · ⭐ 830 · 💀) - scikit-learn cross validators for iterative.. BSD-3
- combo (🥉21 · ⭐ 640 · 💀) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost
- skope-rules (🥉21 · ⭐ 600 · 💀) - machine learning with logical rules in Python. ❗️BSD-1-Clause
- celer (🥉18 · ⭐ 200) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3
- skggm (🥉17 · ⭐ 240 · 💤) - Scikit-learn compatible estimation of general graphical models. MIT
- dabl (🥉15 · ⭐ 130) - Data Analysis Baseline Library. BSD-3
## Pytorch Utilities
_Libraries that extend Pytorch with additional capabilities._
accelerate (🥇40 · ⭐ 7.2K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
- [GitHub](https://github.com/huggingface/accelerate) (👨💻 250 · 🔀 820 · 📦 39K · 📋 1.4K - 9% open · ⏱️ 06.06.2024):
```
git clone https://github.com/huggingface/accelerate
```
- [PyPi](https://pypi.org/project/accelerate) (📥 7.7M / month · 📦 1.1K · ⏱️ 10.05.2024):
```
pip install accelerate
```
- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 140K · ⏱️ 11.05.2024):
```
conda install -c conda-forge accelerate
```
tinygrad (🥇33 · ⭐ 25K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
- [GitHub](https://github.com/tinygrad/tinygrad) (👨💻 310 · 🔀 2.7K · 📦 69 · 📋 620 - 14% open · ⏱️ 06.06.2024):
```
git clone https://github.com/geohot/tinygrad
```
PML (🥇33 · ⭐ 5.8K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨💻 41 · 🔀 650 · 📦 1.5K · 📋 500 - 11% open · ⏱️ 01.04.2024):
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 460K / month · 📦 33 · ⏱️ 01.04.2024):
```
pip install pytorch-metric-learning
```
- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 11K · ⏱️ 16.06.2023):
```
conda install -c metric-learning pytorch-metric-learning
```
torchdiffeq (🥇31 · ⭐ 5.3K · 💤) - Differentiable ODE solvers with full GPU support and.. MIT
- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨💻 21 · 🔀 900 · 📦 3.4K · 📋 220 - 32% open · ⏱️ 19.10.2023):
```
git clone https://github.com/rtqichen/torchdiffeq
```
- [PyPi](https://pypi.org/project/torchdiffeq) (📥 690K / month · 📦 89 · ⏱️ 29.05.2024):
```
pip install torchdiffeq
```
- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 16K · ⏱️ 16.06.2023):
```
conda install -c conda-forge torchdiffeq
```
torchsde (🥈29 · ⭐ 1.5K · 💤) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
- [GitHub](https://github.com/google-research/torchsde) (👨💻 8 · 🔀 190 · 📦 3.1K · 📋 76 - 31% open · ⏱️ 26.09.2023):
```
git clone https://github.com/google-research/torchsde
```
- [PyPi](https://pypi.org/project/torchsde) (📥 1.3M / month · 📦 30 · ⏱️ 26.09.2023):
```
pip install torchsde
```
- [Conda](https://anaconda.org/conda-forge/torchsde) (📥 22K · ⏱️ 16.06.2023):
```
conda install -c conda-forge torchsde
```
pytorch-optimizer (🥈28 · ⭐ 3K · 💤) - torch-optimizer -- collection of optimizers for.. Apache-2
- [GitHub](https://github.com/jettify/pytorch-optimizer) (👨💻 26 · 🔀 290 · 📦 1.2K · 📋 83 - 63% open · ⏱️ 20.06.2023):
```
git clone https://github.com/jettify/pytorch-optimizer
```
- [PyPi](https://pypi.org/project/torch_optimizer) (📥 120K / month · 📦 84 · ⏱️ 31.10.2021):
```
pip install torch_optimizer
```
- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (📥 10K · ⏱️ 16.06.2023):
```
conda install -c conda-forge torch-optimizer
```
lightning-flash (🥈27 · ⭐ 1.7K · 💤) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2
- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (👨💻 87 · 🔀 210 · 📦 280 · 📋 520 - 4% open · ⏱️ 08.10.2023):
```
git clone https://github.com/Lightning-AI/lightning-flash
```
- [PyPi](https://pypi.org/project/lightning-flash) (📥 2K / month · 📦 5 · ⏱️ 11.05.2022):
```
pip install lightning-flash
```
- [Conda](https://anaconda.org/conda-forge/lightning-flash) (📥 19K · ⏱️ 04.07.2023):
```
conda install -c conda-forge lightning-flash
```
TabNet (🥈26 · ⭐ 2.5K · 💤) - PyTorch implementation of TabNet paper :.. MIT
- [GitHub](https://github.com/dreamquark-ai/tabnet) (👨💻 21 · 🔀 470 · 📋 330 - 15% open · ⏱️ 23.07.2023):
```
git clone https://github.com/dreamquark-ai/tabnet
```
- [PyPi](https://pypi.org/project/pytorch-tabnet) (📥 39K / month · 📦 11 · ⏱️ 23.07.2023):
```
pip install pytorch-tabnet
```
- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (📥 6.8K · ⏱️ 20.12.2023):
```
conda install -c conda-forge pytorch-tabnet
```
torch-scatter (🥈26 · ⭐ 1.5K) - PyTorch Extension Library of Optimized Scatter Operations. MIT
- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨💻 30 · 🔀 180 · 📋 370 - 7% open · ⏱️ 27.05.2024):
```
git clone https://github.com/rusty1s/pytorch_scatter
```
- [PyPi](https://pypi.org/project/torch-scatter) (📥 37K / month · 📦 130 · ⏱️ 06.10.2023):
```
pip install torch-scatter
```
- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 300K · ⏱️ 19.05.2024):
```
conda install -c conda-forge pytorch_scatter
```
PyTorch Sparse (🥉23 · ⭐ 960) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨💻 45 · 🔀 140 · 📋 270 - 11% open · ⏱️ 29.04.2024):
```
git clone https://github.com/rusty1s/pytorch_sparse
```
- [PyPi](https://pypi.org/project/torch-sparse) (📥 25K / month · 📦 100 · ⏱️ 06.10.2023):
```
pip install torch-sparse
```
- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 300K · ⏱️ 19.05.2024):
```
conda install -c conda-forge pytorch_sparse
```
Pytorch Toolbelt (🥉22 · ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨💻 7 · 🔀 120 · 📥 17 · 📋 33 - 12% open · ⏱️ 18.04.2024):
```
git clone https://github.com/BloodAxe/pytorch-toolbelt
```
- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 6.1K / month · 📦 7 · ⏱️ 27.06.2022):
```
pip install pytorch_toolbelt
```
reformer-pytorch (🥉21 · ⭐ 2.1K · 💤) - Reformer, the efficient Transformer, in Pytorch. MIT
- [GitHub](https://github.com/lucidrains/reformer-pytorch) (👨💻 11 · 🔀 250 · 📋 120 - 13% open · ⏱️ 21.06.2023):
```
git clone https://github.com/lucidrains/reformer-pytorch
```
- [PyPi](https://pypi.org/project/reformer-pytorch) (📥 11K / month · ⏱️ 06.11.2021):
```
pip install reformer-pytorch
```
Show 20 hidden projects...
- pretrainedmodels (🥈29 · ⭐ 9K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3
- EfficientNet-PyTorch (🥈27 · ⭐ 7.8K · 💀) - A PyTorch implementation of EfficientNet. Apache-2
- pytorch-summary (🥈27 · ⭐ 4K · 💀) - Model summary in PyTorch similar to `model.summary()` in.. MIT
- EfficientNets (🥈25 · ⭐ 1.6K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2
- Higher (🥉24 · ⭐ 1.6K · 💀) - higher is a pytorch library allowing users to obtain higher.. Apache-2
- SRU (🥉23 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT
- Torchmeta (🥉23 · ⭐ 1.9K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT
- Antialiased CNNs (🥉22 · ⭐ 1.6K · 💀) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0
- micrograd (🥉21 · ⭐ 8.6K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. MIT
- AdaBound (🥉21 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2
- pytorchviz (🥉20 · ⭐ 3.1K · 💀) - A small package to create visualizations of PyTorch execution.. MIT
- Lambda Networks (🥉20 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. MIT
- Performer Pytorch (🥉19 · ⭐ 1.1K · 💀) - An implementation of Performer, a linear attention-.. MIT
- Poutyne (🥉19 · ⭐ 570 · 💤) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0
- Torch-Struct (🥉18 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured.. MIT
- Tez (🥉17 · ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2
- Tensor Sensor (🥉17 · ⭐ 760 · 💀) - The goal of this library is to generate more helpful.. MIT
- madgrad (🥉16 · ⭐ 800 · 💀) - MADGRAD Optimization Method. MIT
- Pywick (🥉16 · ⭐ 400 · 💀) - High-level batteries-included neural network training library for.. MIT
- TorchDrift (🥉15 · ⭐ 310 · 💀) - Drift Detection for your PyTorch Models. Apache-2
## Database Clients
_Libraries for connecting to, operating, and querying databases._
🔗 best-of-python - DB Clients ( ⭐ 3.5K) - Collection of database clients for python.
## Others
scipy (🥇51 · ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
- [GitHub](https://github.com/scipy/scipy) (👨💻 1.6K · 🔀 5K · 📥 400K · 📦 1M · 📋 10K - 17% open · ⏱️ 06.06.2024):
```
git clone https://github.com/scipy/scipy
```
- [PyPi](https://pypi.org/project/scipy) (📥 110M / month · 📦 42K · ⏱️ 30.05.2024):
```
pip install scipy
```
- [Conda](https://anaconda.org/conda-forge/scipy) (📥 49M · ⏱️ 23.05.2024):
```
conda install -c conda-forge scipy
```
SymPy (🥇47 · ⭐ 12K · 📉) - A computer algebra system written in pure Python. BSD-3
- [GitHub](https://github.com/sympy/sympy) (👨💻 1.3K · 🔀 4.3K · 📥 540K · 📦 140K · 📋 14K - 36% open · ⏱️ 06.06.2024):
```
git clone https://github.com/sympy/sympy
```
- [PyPi](https://pypi.org/project/sympy) (📥 23M / month · 📦 3.1K · ⏱️ 06.06.2024):
```
pip install sympy
```
- [Conda](https://anaconda.org/conda-forge/sympy) (📥 5.7M · ⏱️ 16.06.2023):
```
conda install -c conda-forge sympy
```
Streamlit (🥇46 · ⭐ 33K) - Streamlit A faster way to build and share data apps. Apache-2
- [GitHub](https://github.com/streamlit/streamlit) (👨💻 230 · 🔀 2.8K · 📦 400K · 📋 4.2K - 19% open · ⏱️ 06.06.2024):
```
git clone https://github.com/streamlit/streamlit
```
- [PyPi](https://pypi.org/project/streamlit) (📥 4.9M / month · 📦 2.3K · ⏱️ 23.05.2024):
```
pip install streamlit
```
Gradio (🥇44 · ⭐ 30K) - Wrap UIs around any model, share with anyone. Apache-2
- [GitHub](https://github.com/gradio-app/gradio) (👨💻 330 · 🔀 2.2K · 📦 32K · 📋 4.3K - 11% open · ⏱️ 06.06.2024):
```
git clone https://github.com/gradio-app/gradio
```
- [PyPi](https://pypi.org/project/gradio) (📥 7.5M / month · 📦 580 · ⏱️ 05.06.2024):
```
pip install gradio
```
carla (🥇36 · ⭐ 11K) - Open-source simulator for autonomous driving research. MIT
- [GitHub](https://github.com/carla-simulator/carla) (👨💻 190 · 🔀 3.4K · 📦 720 · 📋 5.3K - 20% open · ⏱️ 05.06.2024):
```
git clone https://github.com/carla-simulator/carla
```
- [PyPi](https://pypi.org/project/carla) (📥 13K / month · 📦 7 · ⏱️ 14.11.2023):
```
pip install carla
```
DeepChem (🥇36 · ⭐ 5.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
- [GitHub](https://github.com/deepchem/deepchem) (👨💻 240 · 🔀 1.6K · 📦 380 · 📋 1.8K - 32% open · ⏱️ 05.06.2024):
```
git clone https://github.com/deepchem/deepchem
```
- [PyPi](https://pypi.org/project/deepchem) (📥 24K / month · 📦 13 · ⏱️ 05.06.2024):
```
pip install deepchem
```
- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 110K · ⏱️ 05.04.2024):
```
conda install -c conda-forge deepchem
```
PyOD (🥇35 · ⭐ 8.1K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2
- [GitHub](https://github.com/yzhao062/pyod) (👨💻 53 · 🔀 1.3K · 📦 3.8K · 📋 370 - 60% open · ⏱️ 01.06.2024):
```
git clone https://github.com/yzhao062/pyod
```
- [PyPi](https://pypi.org/project/pyod) (📥 680K / month · 📦 110 · ⏱️ 01.06.2024):
```
pip install pyod
```
- [Conda](https://anaconda.org/conda-forge/pyod) (📥 100K · ⏱️ 01.06.2024):
```
conda install -c conda-forge pyod
```
PennyLane (🥇35 · ⭐ 2.2K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨💻 170 · 🔀 550 · 📥 78 · 📦 920 · 📋 1.3K - 23% open · ⏱️ 06.06.2024):
```
git clone https://github.com/PennyLaneAI/PennyLane
```
- [PyPi](https://pypi.org/project/pennylane) (📥 51K / month · 📦 100 · ⏱️ 06.05.2024):
```
pip install pennylane
```
- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 55K · ⏱️ 07.05.2024):
```
conda install -c conda-forge pennylane
```
agate (🥇35 · ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT
- [GitHub](https://github.com/wireservice/agate) (👨💻 53 · 🔀 150 · 📦 3.3K · 📋 650 - 0% open · ⏱️ 27.05.2024):
```
git clone https://github.com/wireservice/agate
```
- [PyPi](https://pypi.org/project/agate) (📥 7.5M / month · 📦 47 · ⏱️ 27.05.2024):
```
pip install agate
```
- [Conda](https://anaconda.org/conda-forge/agate) (📥 180K · ⏱️ 31.05.2024):
```
conda install -c conda-forge agate
```
Datasette (🥈33 · ⭐ 9K) - An open source multi-tool for exploring and publishing data. Apache-2
- [GitHub](https://github.com/simonw/datasette) (👨💻 78 · 🔀 640 · 📥 64 · 📦 1.3K · 📋 1.8K - 32% open · ⏱️ 22.04.2024):
```
git clone https://github.com/simonw/datasette
```
- [PyPi](https://pypi.org/project/datasette) (📥 38K / month · 📦 390 · ⏱️ 13.03.2024):
```
pip install datasette
```
- [Conda](https://anaconda.org/conda-forge/datasette) (📥 35K · ⏱️ 03.01.2024):
```
conda install -c conda-forge datasette
```
Autograd (🥈33 · ⭐ 6.8K) - Efficiently computes derivatives of numpy code. MIT
- [GitHub](https://github.com/HIPS/autograd) (👨💻 56 · 🔀 870 · 📦 8.3K · 📋 410 - 42% open · ⏱️ 25.05.2024):
```
git clone https://github.com/HIPS/autograd
```
- [PyPi](https://pypi.org/project/autograd) (📥 1.3M / month · 📦 270 · ⏱️ 23.06.2023):
```
pip install autograd
```
- [Conda](https://anaconda.org/conda-forge/autograd) (📥 430K · ⏱️ 26.06.2023):
```
conda install -c conda-forge autograd
```
hdbscan (🥈33 · ⭐ 2.7K) - A high performance implementation of HDBSCAN clustering. BSD-3
- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨💻 89 · 🔀 490 · 📦 3.6K · 📋 520 - 67% open · ⏱️ 24.05.2024):
```
git clone https://github.com/scikit-learn-contrib/hdbscan
```
- [PyPi](https://pypi.org/project/hdbscan) (📥 740K / month · 📦 300 · ⏱️ 24.05.2024):
```
pip install hdbscan
```
- [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 1.9M · ⏱️ 24.05.2024):
```
conda install -c conda-forge hdbscan
```
Pythran (🥈33 · ⭐ 2K) - Ahead of Time compiler for numeric kernels. BSD-3
- [GitHub](https://github.com/serge-sans-paille/pythran) (👨💻 72 · 🔀 190 · 📦 2.2K · 📋 860 - 15% open · ⏱️ 28.05.2024):
```
git clone https://github.com/serge-sans-paille/pythran
```
- [PyPi](https://pypi.org/project/pythran) (📥 230K / month · 📦 19 · ⏱️ 28.05.2024):
```
pip install pythran
```
- [Conda](https://anaconda.org/conda-forge/pythran) (📥 500K · ⏱️ 28.05.2024):
```
conda install -c conda-forge pythran
```
pyopencl (🥈33 · ⭐ 1K) - OpenCL integration for Python, plus shiny features. MIT
- [GitHub](https://github.com/inducer/pyopencl) (👨💻 96 · 🔀 240 · 📦 1.9K · 📋 340 - 20% open · ⏱️ 06.06.2024):
```
git clone https://github.com/inducer/pyopencl
```
- [PyPi](https://pypi.org/project/pyopencl) (📥 54K / month · 📦 160 · ⏱️ 05.06.2024):
```
pip install pyopencl
```
- [Conda](https://anaconda.org/conda-forge/pyopencl) (📥 1.1M · ⏱️ 09.05.2024):
```
conda install -c conda-forge pyopencl
```
datalad (🥈32 · ⭐ 500) - Keep code, data, containers under control with git and git-annex. MIT
- [GitHub](https://github.com/datalad/datalad) (👨💻 56 · 🔀 110 · 📦 400 · 📋 3.9K - 13% open · ⏱️ 06.06.2024):
```
git clone https://github.com/datalad/datalad
```
- [PyPi](https://pypi.org/project/datalad) (📥 21K / month · 📦 93 · ⏱️ 19.04.2024):
```
pip install datalad
```
- [Conda](https://anaconda.org/conda-forge/datalad) (📥 470K · ⏱️ 29.05.2024):
```
conda install -c conda-forge datalad
```
River (🥈31 · ⭐ 4.8K) - Online machine learning in Python. BSD-3
- [GitHub](https://github.com/online-ml/river) (👨💻 110 · 🔀 530 · 📦 490 · 📋 590 - 18% open · ⏱️ 20.05.2024):
```
git clone https://github.com/online-ml/river
```
- [PyPi](https://pypi.org/project/river) (📥 40K / month · 📦 51 · ⏱️ 23.04.2024):
```
pip install river
```
- [Conda](https://anaconda.org/conda-forge/river) (📥 60K · ⏱️ 06.10.2023):
```
conda install -c conda-forge river
```
pyjanitor (🥈31 · ⭐ 1.3K) - Clean APIs for data cleaning. Python implementation of R package.. MIT
- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨💻 110 · 🔀 160 · 📦 620 · 📋 560 - 20% open · ⏱️ 04.06.2024):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
```
- [PyPi](https://pypi.org/project/pyjanitor) (📥 76K / month · 📦 28 · ⏱️ 21.03.2024):
```
pip install pyjanitor
```
- [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 200K · ⏱️ 21.03.2024):
```
conda install -c conda-forge pyjanitor
```
causalml (🥈30 · ⭐ 4.8K) - Uplift modeling and causal inference with machine learning.. Apache-2
- [GitHub](https://github.com/uber/causalml) (👨💻 62 · 🔀 740 · 📦 200 · 📋 390 - 14% open · ⏱️ 09.05.2024):
```
git clone https://github.com/uber/causalml
```
- [PyPi](https://pypi.org/project/causalml) (📥 45K / month · 📦 1 · ⏱️ 19.04.2024):
```
pip install causalml
```
anomalib (🥈30 · ⭐ 3.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
- [GitHub](https://github.com/openvinotoolkit/anomalib) (👨💻 79 · 🔀 590 · 📥 11K · 📦 73 · 📋 840 - 14% open · ⏱️ 06.06.2024):
```
git clone https://github.com/openvinotoolkit/anomalib
```
- [PyPi](https://pypi.org/project/anomalib) (📥 17K / month · 📦 5 · ⏱️ 31.05.2024):
```
pip install anomalib
```
tensorly (🥈30 · ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2
- [GitHub](https://github.com/tensorly/tensorly) (👨💻 67 · 🔀 270 · 📦 660 · 📋 260 - 23% open · ⏱️ 11.04.2024):
```
git clone https://github.com/tensorly/tensorly
```
- [PyPi](https://pypi.org/project/tensorly) (📥 30K / month · 📦 80 · ⏱️ 08.03.2023):
```
pip install tensorly
```
- [Conda](https://anaconda.org/conda-forge/tensorly) (📥 360K · ⏱️ 16.06.2023):
```
conda install -c conda-forge tensorly
```
kmodes (🥈29 · ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT
- [GitHub](https://github.com/nicodv/kmodes) (👨💻 22 · 🔀 410 · 📦 2.6K · 📋 160 - 10% open · ⏱️ 17.01.2024):
```
git clone https://github.com/nicodv/kmodes
```
- [PyPi](https://pypi.org/project/kmodes) (📥 320K / month · 📦 38 · ⏱️ 06.09.2022):
```
pip install kmodes
```
- [Conda](https://anaconda.org/conda-forge/kmodes) (📥 43K · ⏱️ 16.06.2023):
```
conda install -c conda-forge kmodes
```
adapter-transformers (🥈28 · ⭐ 2.4K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface
- [GitHub](https://github.com/adapter-hub/adapters) (👨💻 8 · 🔀 320 · 📦 61 · 📋 370 - 10% open · ⏱️ 21.05.2024):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
- [PyPi](https://pypi.org/project/adapter-transformers) (📥 92K / month · 📦 7 · ⏱️ 16.12.2023):
```
pip install adapter-transformers
```
avalanche (🥈28 · ⭐ 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
- [GitHub](https://github.com/ContinualAI/avalanche) (👨💻 78 · 🔀 280 · 📥 21 · 📦 83 · 📋 800 - 11% open · ⏱️ 03.06.2024):
```
git clone https://github.com/ContinualAI/avalanche
```
- [PyPi](https://pypi.org/project/avalanche-lib) (📥 970 / month · 📦 3 · ⏱️ 27.02.2024):
```
pip install avalanche-lib
```
dstack (🥈28 · ⭐ 1.1K) - An open-source container orchestration engine for running AI workloads.. MPL-2.0
- [GitHub](https://github.com/dstackai/dstack) (👨💻 25 · 🔀 80 · 📦 14 · 📋 710 - 5% open · ⏱️ 06.06.2024):
```
git clone https://github.com/dstackai/dstack
```
- [PyPi](https://pypi.org/project/dstack) (📥 2K / month · ⏱️ 06.06.2024):
```
pip install dstack
```
PySwarms (🥉27 · ⭐ 1.2K · 💤) - A research toolkit for particle swarm optimization in Python. MIT
- [GitHub](https://github.com/ljvmiranda921/pyswarms) (👨💻 45 · 🔀 330 · 📦 390 · 📋 230 - 12% open · ⏱️ 06.06.2023):
```
git clone https://github.com/ljvmiranda921/pyswarms
```
- [PyPi](https://pypi.org/project/pyswarms) (📥 22K / month · 📦 22 · ⏱️ 03.01.2021):
```
pip install pyswarms
```
pyclustering (🥉27 · ⭐ 1.1K) - pyclustering is a Python, C++ data mining library. BSD-3
- [GitHub](https://github.com/annoviko/pyclustering) (👨💻 26 · 🔀 250 · 📥 540 · 📦 680 · 📋 660 - 10% open · ⏱️ 08.02.2024):
```
git clone https://github.com/annoviko/pyclustering
```
- [PyPi](https://pypi.org/project/pyclustering) (📥 43K / month · 📦 29 · ⏱️ 25.11.2020):
```
pip install pyclustering
```
- [Conda](https://anaconda.org/conda-forge/pyclustering) (📥 67K · ⏱️ 16.11.2023):
```
conda install -c conda-forge pyclustering
```
modAL (🥉26 · ⭐ 2.2K · 💤) - A modular active learning framework for Python. MIT
- [GitHub](https://github.com/modAL-python/modAL) (👨💻 20 · 🔀 320 · 📥 35 · 📋 160 - 63% open · ⏱️ 01.06.2023):
```
git clone https://github.com/modAL-python/modAL
```
- [PyPi](https://pypi.org/project/modAL) (📥 280K / month · 📦 41 · ⏱️ 06.06.2024):
```
pip install modAL
```
TabPy (🥉26 · ⭐ 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
- [GitHub](https://github.com/tableau/TabPy) (👨💻 50 · 🔀 580 · 📦 160 · 📋 320 - 5% open · ⏱️ 04.01.2024):
```
git clone https://github.com/tableau/TabPy
```
- [PyPi](https://pypi.org/project/tabpy) (📥 8.5K / month · 📦 2 · ⏱️ 30.01.2023):
```
pip install tabpy
```
- [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 4.5K · ⏱️ 16.06.2023):
```
conda install -c anaconda tabpy-client
```
pycm (🥉26 · ⭐ 1.4K · 💤) - Multi-class confusion matrix library in Python. MIT
- [GitHub](https://github.com/sepandhaghighi/pycm) (👨💻 17 · 🔀 120 · 📦 300 · 📋 200 - 5% open · ⏱️ 07.06.2023):
```
git clone https://github.com/sepandhaghighi/pycm
```
- [PyPi](https://pypi.org/project/pycm) (📥 40K / month · 📦 22 · ⏱️ 07.06.2023):
```
pip install pycm
```
metric-learn (🥉26 · ⭐ 1.4K · 💤) - Metric learning algorithms in Python. MIT
- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (👨💻 22 · 🔀 230 · 📦 380 · 📋 170 - 30% open · ⏱️ 29.09.2023):
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
- [PyPi](https://pypi.org/project/metric-learn) (📥 16K / month · 📦 7 · ⏱️ 09.10.2023):
```
pip install metric-learn
```
- [Conda](https://anaconda.org/conda-forge/metric-learn) (📥 12K · ⏱️ 09.10.2023):
```
conda install -c conda-forge metric-learn
```
Prince (🥉26 · ⭐ 1.2K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT
- [GitHub](https://github.com/MaxHalford/prince) (👨💻 16 · 🔀 180 · 📦 540 · 📋 130 - 3% open · ⏱️ 16.04.2024):
```
git clone https://github.com/MaxHalford/prince
```
- [PyPi](https://pypi.org/project/prince) (📥 140K / month · 📦 16 · ⏱️ 11.10.2023):
```
pip install prince
```
- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (📥 19K · ⏱️ 16.06.2023):
```
conda install -c conda-forge prince-factor-analysis
```
Trax (🥉25 · ⭐ 8K) - Trax Deep Learning with Clear Code and Speed. Apache-2
- [GitHub](https://github.com/google/trax) (👨💻 79 · 🔀 810 · 📦 160 · 📋 240 - 47% open · ⏱️ 16.05.2024):
```
git clone https://github.com/google/trax
```
- [PyPi](https://pypi.org/project/trax) (📥 3.3K / month · 📦 1 · ⏱️ 26.10.2021):
```
pip install trax
```
gplearn (🥉25 · ⭐ 1.6K · 💤) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3
- [GitHub](https://github.com/trevorstephens/gplearn) (👨💻 11 · 🔀 270 · 📦 580 · 📋 210 - 10% open · ⏱️ 12.08.2023):
```
git clone https://github.com/trevorstephens/gplearn
```
- [PyPi](https://pypi.org/project/gplearn) (📥 7.2K / month · 📦 17 · ⏱️ 03.05.2022):
```
pip install gplearn
```
- [Conda](https://anaconda.org/conda-forge/gplearn) (📥 7K · ⏱️ 16.06.2023):
```
conda install -c conda-forge gplearn
```
Mars (🥉24 · ⭐ 2.7K · 💤) - Mars is a tensor-based unified framework for large-scale data.. Apache-2
- [GitHub](https://github.com/mars-project/mars) (👨💻 53 · 🔀 320 · 📋 1.2K - 17% open · ⏱️ 02.11.2023):
```
git clone https://github.com/mars-project/mars
```
- [PyPi](https://pypi.org/project/pymars) (📥 15K / month · 📦 1 · ⏱️ 12.06.2022):
```
pip install pymars
```
AugLy (🥉23 · ⭐ 4.9K · 📉) - A data augmentations library for audio, image, text, and video. MIT
- [GitHub](https://github.com/facebookresearch/AugLy) (👨💻 34 · 🔀 300 · 📦 120 · 📋 78 - 30% open · ⏱️ 22.03.2024):
```
git clone https://github.com/facebookresearch/AugLy
```
- [PyPi](https://pypi.org/project/augly) (📥 2.7K / month · 📦 4 · ⏱️ 05.12.2023):
```
pip install augly
```
AstroML (🥉23 · ⭐ 1K) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
- [GitHub](https://github.com/astroML/astroML) (👨💻 31 · 🔀 300 · 📋 160 - 38% open · ⏱️ 04.01.2024):
```
git clone https://github.com/astroML/astroML
```
- [PyPi](https://pypi.org/project/astroML) (📥 1.6K / month · 📦 14 · ⏱️ 01.03.2022):
```
pip install astroML
```
- [Conda](https://anaconda.org/conda-forge/astroml) (📥 44K · ⏱️ 16.06.2023):
```
conda install -c conda-forge astroml
```
BioPandas (🥉23 · ⭐ 690 · 💤) - Working with molecular structures in pandas DataFrames. BSD-3
- [GitHub](https://github.com/BioPandas/biopandas) (👨💻 15 · 🔀 120 · 📦 250 · 📋 58 - 41% open · ⏱️ 19.09.2023):
```
git clone https://github.com/rasbt/biopandas
```
- [PyPi](https://pypi.org/project/biopandas) (📥 62K / month · 📦 23 · ⏱️ 28.08.2023):
```
pip install biopandas
```
- [Conda](https://anaconda.org/conda-forge/biopandas) (📥 150K · ⏱️ 16.06.2023):
```
conda install -c conda-forge biopandas
```
MONAILabel (🥉23 · ⭐ 560) - MONAI Label is an intelligent open source image labeling and.. Apache-2
- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨💻 59 · 🔀 180 · 📥 85K · 📋 510 - 23% open · ⏱️ 24.05.2024):
```
git clone https://github.com/Project-MONAI/MONAILabel
```
- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 440 / month · ⏱️ 01.10.2023):
```
pip install monailabel-weekly
```
SUOD (🥉22 · ⭐ 370) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
- [GitHub](https://github.com/yzhao062/SUOD) (👨💻 3 · 🔀 48 · 📦 520 · 📋 14 - 78% open · ⏱️ 08.02.2024):
```
git clone https://github.com/yzhao062/SUOD
```
- [PyPi](https://pypi.org/project/suod) (📥 13K / month · 📦 8 · ⏱️ 08.02.2024):
```
pip install suod
```
benchmark_VAE (🥉21 · ⭐ 1.7K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2
- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨💻 17 · 🔀 150 · 📦 23 · 📋 58 - 32% open · ⏱️ 09.04.2024):
```
git clone https://github.com/clementchadebec/benchmark_VAE
```
- [PyPi](https://pypi.org/project/pythae) (📥 1.1K / month · ⏱️ 06.09.2023):
```
pip install pythae
```
rrcf (🥉20 · ⭐ 480 · 💤) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT
- [GitHub](https://github.com/kLabUM/rrcf) (👨💻 7 · 🔀 110 · 📦 63 · 📋 47 - 55% open · ⏱️ 12.08.2023):
```
git clone https://github.com/kLabUM/rrcf
```
- [PyPi](https://pypi.org/project/rrcf) (📥 2.7K / month · 📦 8 · ⏱️ 30.04.2023):
```
pip install rrcf
```
pykale (🥉20 · ⭐ 430) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
- [GitHub](https://github.com/pykale/pykale) (👨💻 22 · 🔀 63 · 📦 1 · 📋 120 - 7% open · ⏱️ 29.05.2024):
```
git clone https://github.com/pykale/pykale
```
- [PyPi](https://pypi.org/project/pykale) (📥 42 / month · ⏱️ 12.04.2022):
```
pip install pykale
```
pymdp (🥉19 · ⭐ 400 · 📈) - A Python implementation of active inference for Markov Decision Processes. MIT
- [GitHub](https://github.com/infer-actively/pymdp) (👨💻 18 · 🔀 71 · 📦 9 · 📋 42 - 35% open · ⏱️ 06.06.2024):
```
git clone https://github.com/infer-actively/pymdp
```
- [PyPi](https://pypi.org/project/inferactively-pymdp) (📥 290 / month · ⏱️ 08.12.2022):
```
pip install inferactively-pymdp
```
NeuralCompression (🥉14 · ⭐ 480 · 📉) - A collection of tools for neural compression enthusiasts. MIT
- [GitHub](https://github.com/facebookresearch/NeuralCompression) (👨💻 10 · 🔀 42 · 📋 69 - 7% open · ⏱️ 18.03.2024):
```
git clone https://github.com/facebookresearch/NeuralCompression
```
- [PyPi](https://pypi.org/project/neuralcompression) (📥 86 / month · ⏱️ 03.10.2023):
```
pip install neuralcompression
```
Show 22 hidden projects...
- cleanlab (🥈32 · ⭐ 8.9K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0
- PaddleHub (🥈31 · ⭐ 13K · 💀) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2
- pysc2 (🥈28 · ⭐ 7.9K · 💀) - StarCraft II Learning Environment. Apache-2
- alibi-detect (🥈28 · ⭐ 2.1K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel
- minisom (🥈28 · ⭐ 1.4K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0
- Cython BLIS (🥈28 · ⭐ 210) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3
- pandas-ai (🥉27 · ⭐ 11K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. ❗Unlicensed
- metricflow (🥉26 · ⭐ 1.1K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed
- Feature Engine (🥉25 · ⭐ 1.8K · 💀) - Feature engineering package with sklearn like functionality. BSD-3
- findspark (🥉24 · ⭐ 510 · 💀) - Find pyspark to make it importable. BSD-3
- opyrator (🥉22 · ⭐ 3K · 💀) - Turns your machine learning code into microservices with web API,.. MIT
- mlens (🥉22 · ⭐ 830 · 💀) - ML-Ensemble high performance ensemble learning. MIT
- vecstack (🥉22 · ⭐ 680 · 💀) - Python package for stacking (machine learning technique). MIT
- impyute (🥉21 · ⭐ 350 · 💀) - Data imputations library to preprocess datasets with missing data. MIT
- StreamAlert (🥉20 · ⭐ 2.8K · 💀) - StreamAlert is a serverless, realtime data analysis.. Apache-2
- apricot (🥉20 · ⭐ 490 · 💀) - apricot implements submodular optimization for the purpose of.. MIT
- scikit-rebate (🥉19 · ⭐ 400 · 💀) - A scikit-learn-compatible Python implementation of.. MIT
- baikal (🥉18 · ⭐ 590 · 💀) - A graph-based functional API for building complex scikit-learn.. BSD-3
- pandas-ml (🥉18 · ⭐ 310 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3
- KD-Lib (🥉15 · ⭐ 580 · 💀) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT
- traingenerator (🥉13 · ⭐ 1.3K · 💀) - A web app to generate template code for machine learning. MIT
- nylon (🥉12 · ⭐ 84 · 💀) - An intelligent, flexible grammar of machine learning. MIT
---
## Related Resources
- [**Papers With Code**](https://paperswithcode.com): Discover ML papers, code, and evaluation tables.
- [**Sotabench**](https://sotabench.com): Discover & compare open-source ML models.
- [**Google Dataset Search**](https://toolbox.google.com/datasetsearch): Dataset search engine by Google.
- [**Dataset List**](https://www.datasetlist.com/): List of the biggest ML datasets from across the web.
- [**Awesome Public Datasets**](https://github.com/awesomedata/awesome-public-datasets): A topic-centric list of open datasets.
- [**Best-of lists**](https://best-of.org): Discover other best-of lists with awesome open-source projects on all kinds of topics.
- [**best-of-python-dev**](https://github.com/ml-tooling/best-of-python-dev): A ranked list of awesome python developer tools and libraries.
- [**best-of-web-python**](https://github.com/ml-tooling/best-of-web-python): A ranked list of awesome python libraries for web development.
## Contribution
Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways:
- Open an issue by selecting one of the provided categories from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information.
- Modify the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) with your additions or changes, and submit a pull request. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml).
If you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. If you like to create your own best-of list, we recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md).
For more information on how to add or update projects, please read the [contribution guidelines](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md). By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/ml-tooling/best-of-ml-python/blob/main/.github/CODE_OF_CONDUCT.md).
## License
[](https://creativecommons.org/licenses/by-sa/4.0/)