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Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

https://github.com/tracel-ai/burn

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

autodiff autotune concurrency cross-platform deep-learning high-performance kernel-fusion llm machine-learning ndarray neural-network onnx pytorch rust scientific-computing tensor wasm webgpu

Last synced: 28 Oct 2024

https://github.com/vaexio/vaex

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

bigdata data-science dataframe hdf5 machine-learning machinelearning memory-mapped-file pyarrow python tabular-data visualization

Last synced: 29 Oct 2024

https://github.com/gorse-io/gorse

Gorse open source recommender system engine

collaborative-filtering go knn machine-learning recommender-system

Last synced: 14 Oct 2024

https://github.com/dlr-rm/stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

baselines gsde gym machine-learning openai python pytorch reinforcement-learning reinforcement-learning-algorithms robotics sb3 sde stable-baselines toolbox

Last synced: 28 Oct 2024

https://poloclub.github.io/cnn-explainer/

Learning Convolutional Neural Networks with Interactive Visualization.

deep-learning interactive-visualizations machine-learning visual-learning visualization

Last synced: 28 Oct 2024

https://github.com/cortexlabs/cortex

Production infrastructure for machine learning at scale

infrastructure machine-learning

Last synced: 29 Oct 2024

https://github.com/poloclub/cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

deep-learning interactive-visualizations machine-learning visual-learning visualization

Last synced: 14 Oct 2024

https://github.com/jackzhenguo/python-small-examples

告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 https://ai-jupyter.com

data-science machine-learning python python-gui python-web pytorch tensorflow

Last synced: 29 Oct 2024

https://github.com/lanpa/tensorboardx

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

machine-learning numpy pytorch tensorboard visualization

Last synced: 29 Oct 2024

https://github.com/lanpa/tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

machine-learning numpy pytorch tensorboard visualization

Last synced: 26 Oct 2024

https://github.com/catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

big-data catboost categorical-features coreml cuda data-mining data-science decision-trees gbdt gbm gpu gpu-computing gradient-boosting kaggle machine-learning python r tutorial

Last synced: 28 Oct 2024

https://github.com/activeloopai/Hub

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

ai computer-vision cv data-science data-version-control datalake datasets deep-learning image-processing langchain large-language-models llm machine-learning ml mlops python pytorch tensorflow vector-database vector-search

Last synced: 10 Aug 2024

https://github.com/activeloopai/deeplake

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

ai computer-vision cv data-science data-version-control datalake datasets deep-learning image-processing langchain large-language-models llm machine-learning ml mlops python pytorch tensorflow vector-database vector-search

Last synced: 31 Oct 2024

https://github.com/drivendataorg/cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

ai cookiecutter cookiecutter-data-science cookiecutter-template data-science machine-learning

Last synced: 29 Oct 2024

https://github.com/drivendata/cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

ai cookiecutter cookiecutter-data-science cookiecutter-template data-science machine-learning

Last synced: 14 Nov 2024

https://deeplearning-ai.github.io/machine-learning-yearning-cn/

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

book deep-learning machine-learning

Last synced: 31 Oct 2024

https://github.com/deeplearning-ai/machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

book deep-learning machine-learning

Last synced: 15 Oct 2024

https://github.com/triton-inference-server/server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

cloud datacenter deep-learning edge gpu inference machine-learning

Last synced: 29 Oct 2024

https://github.com/UFund-Me/Qbot

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

bitcoin blockchain deep-learning fintech funds machine-learning pytrade qlib quant-trade quant-trader quantitative-finance quantitative-trading quantization strategies trade-bot trademarks

Last synced: 30 Oct 2024

https://github.com/amusi/deep-learning-interview-book

深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

computer-vision deep-learning interview machine-learning natural-language-processing recommendation-system slam

Last synced: 15 Oct 2024

https://github.com/mrdbourke/machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

data data-science deep-learning machine-learning

Last synced: 14 Oct 2024

https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

books calculus deep-learning lectures linear-algebra machine-learning probability

Last synced: 08 Nov 2024

https://github.com/ahmedbahaaeldin/from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

books calculus deep-learning lectures linear-algebra machine-learning probability

Last synced: 15 Oct 2024

https://pair-code.github.io/facets/

Visualizations for machine learning datasets

data-visualization machine-learning

Last synced: 25 Oct 2024

https://github.com/PAIR-code/facets

Visualizations for machine learning datasets

data-visualization machine-learning

Last synced: 25 Oct 2024

https://github.com/pair-code/facets

Visualizations for machine learning datasets

data-visualization machine-learning

Last synced: 29 Sep 2024

https://github.com/wiseodd/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gan generative-model machine-learning pytorch rbm restricted-boltzmann-machine tensorflow vae

Last synced: 13 Oct 2024

https://github.com/firmai/industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

data-science datascience example firmai jupyter-notebook machine-learning practical-machine-learning python

Last synced: 15 Oct 2024

https://github.com/stanfordnlp/stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

artificial-intelligence corenlp deep-learning machine-learning named-entity-recognition natural-language-processing nlp python pytorch universal-dependencies

Last synced: 28 Oct 2024

https://github.com/ufund-me/qbot

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

bitcoin blockchain deep-learning fintech funds machine-learning pytrade qlib quant-trade quant-trader quantitative-finance quantitative-trading quantization strategies trade-bot trademarks

Last synced: 11 Oct 2024

https://github.com/rasbt/python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

data-science deep-learning machine-learning python scikit-learn tensorflow

Last synced: 13 Oct 2024

https://github.com/google-deepmind/lab

A customisable 3D platform for agent-based AI research

artificial-intelligence deep-learning machine-learning neural-networks

Last synced: 14 Oct 2024

https://github.com/guess-js/guess

🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web

hacktoberfest machine-learning performance prefetch prerender web-performance

Last synced: 29 Oct 2024

https://github.com/deepmind/lab

A customisable 3D platform for agent-based AI research

artificial-intelligence deep-learning machine-learning neural-networks

Last synced: 04 Aug 2024

https://github.com/lmcinnes/umap

Uniform Manifold Approximation and Projection

dimensionality-reduction machine-learning topological-data-analysis umap visualization

Last synced: 29 Oct 2024

https://github.com/unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

anomaly-detection data-science deep-learning forecasting machine-learning python time-series

Last synced: 29 Oct 2024

https://github.com/microsoft/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects

Last synced: 28 Aug 2024

https://github.com/py-why/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects

Last synced: 28 Oct 2024

https://microsoft.github.io/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects

Last synced: 03 Oct 2024

https://github.com/peterl1n/backgroundmattingv2

Real-Time High-Resolution Background Matting

computer-vision machine-learning matting real-time

Last synced: 09 Oct 2024

https://github.com/serpentai/serpentai

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

artificial-intelligence computer-vision deep-learning framework machine-learning python video-games

Last synced: 26 Sep 2024

https://github.com/SerpentAI/SerpentAI

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

artificial-intelligence computer-vision deep-learning framework machine-learning python video-games

Last synced: 29 Oct 2024

https://github.com/Angel-ML/angel

A Flexible and Powerful Parameter Server for large-scale machine learning

high-dimensional machine-learning model online-learning parameter-server scala spark spark-streaming

Last synced: 30 Oct 2024

https://github.com/angel-ml/angel

A Flexible and Powerful Parameter Server for large-scale machine learning

high-dimensional machine-learning model online-learning parameter-server scala spark spark-streaming

Last synced: 12 Oct 2024

https://github.com/scikit-learn-contrib/imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

data-analysis data-science machine-learning python statistics

Last synced: 28 Oct 2024

https://github.com/h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

automl big-data data-science deep-learning distributed ensemble-learning gbm gpu h2o h2o-automl hadoop java machine-learning naive-bayes opensource pca python r random-forest spark

Last synced: 29 Oct 2024

https://github.com/PeterL1n/BackgroundMattingV2

Real-Time High-Resolution Background Matting

computer-vision machine-learning matting real-time

Last synced: 31 Oct 2024

https://github.com/bentoml/BentoML

The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

deep-learning generative-ai inference-platform llm llm-inference llm-serving llmops machine-learning ml-engineering mlops model-inference-service model-serving multimodal python

Last synced: 24 Oct 2024

https://github.com/bentoml/bentoml

The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

deep-learning generative-ai inference-platform llm llm-inference llm-serving llmops machine-learning ml-engineering mlops model-inference-service model-serving multimodal python

Last synced: 28 Oct 2024

https://github.com/probml/pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

blackjax colab flax jax jupyter-notebooks machine-learning numpyro pml probabilistic-programming pymc3 pyro pytorch tensorflow

Last synced: 29 Oct 2024

https://github.com/LibrePhotos/librephotos

A self-hosted open source photo management service. This is the repository of the backend.

django exif hacktoberfest machine-learning photo python selfhosted

Last synced: 26 Oct 2024

https://github.com/librephotos/librephotos

A self-hosted open source photo management service. This is the repository of the backend.

django exif hacktoberfest machine-learning photo python selfhosted

Last synced: 14 Oct 2024

https://github.com/ml5js/ml5-library

Friendly machine learning for the web! 🤖

deep-learning imagenet javascript lstm machine-learning neural-network p5js p5xjs

Last synced: 27 Oct 2024

https://github.com/MingchaoZhu/DeepLearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

Last synced: 09 Nov 2024

https://github.com/Visualize-ML/Book3_Elements-of-Mathematics

Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书!

data-science linear-algebra machine-learning mathematics matrix

Last synced: 11 Nov 2024

https://github.com/mingchaozhu/deeplearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

Last synced: 09 Oct 2024

https://github.com/visualize-ml/book3_elements-of-mathematics

Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书!

data-science linear-algebra machine-learning mathematics matrix

Last synced: 15 Oct 2024

https://github.com/dragen1860/TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

artificial-intelligence computer-vision deep-learning machine-learning neural-network nlp tensorflow tensorflow-2 tensorflow-examples tensorflow-tutorials

Last synced: 27 Oct 2024

https://github.com/NicolasHug/Surprise

A Python scikit for building and analyzing recommender systems

factorization machine-learning matrix recommendation recommender svd systems

Last synced: 26 Oct 2024

https://github.com/nicolashug/surprise

A Python scikit for building and analyzing recommender systems

factorization machine-learning matrix recommendation recommender svd systems

Last synced: 28 Oct 2024

https://github.com/dragen1860/tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

artificial-intelligence computer-vision deep-learning machine-learning neural-network nlp tensorflow tensorflow-2 tensorflow-examples tensorflow-tutorials

Last synced: 09 Oct 2024

https://github.com/liuruoze/easypr

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

artificial-intelligence artificial-neural-networks chinese-characters computer-vision datasets machine-learning opencv opencv3 plate-recognition supervised-learning support-vector-machines unconstrained-situation

Last synced: 14 Oct 2024

https://github.com/liuruoze/EasyPR

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

artificial-intelligence artificial-neural-networks chinese-characters computer-vision datasets machine-learning opencv opencv3 plate-recognition supervised-learning support-vector-machines unconstrained-situation

Last synced: 26 Oct 2024

https://github.com/rushter/data-science-blogs

A curated list of data science blogs

data-science machine-learning

Last synced: 13 Nov 2024

https://github.com/tensorpack/tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

deep-learning machine-learning neural-networks reinforcement-learning tensorflow

Last synced: 13 Oct 2024

https://github.com/ppwwyyxx/tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

deep-learning machine-learning neural-networks reinforcement-learning tensorflow

Last synced: 03 Aug 2024

https://github.com/jessevig/bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

bert gpt2 machine-learning natural-language-processing neural-network nlp pytorch roberta transformer transformers visualization

Last synced: 14 Oct 2024

https://github.com/hironsan/bosssensor

Hide screen when boss is approaching.

cnn computer-vision deep-learning machine-learning opencv

Last synced: 15 Oct 2024

https://github.com/Hironsan/BossSensor

Hide screen when boss is approaching.

cnn computer-vision deep-learning machine-learning opencv

Last synced: 01 Nov 2024