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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.

GitHub: https://github.com/topics/machine-learning
Wikipedia: https://en.wikipedia.org/wiki/Machine_learning
Aliases: machine-learning-algorithms, machine-learning-library, machine-learning-application, machine-learning-models, machinelearning, ml,
Last updated: 2024-07-29 13:47:44 UTC
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https://github.com/trevorstephens/gplearn

Genetic Programming in Python, with a scikit-learn inspired API

genetic-programming machine-learning python scikit-learn symbolic-regression

Last synced: 01 Aug 2024

https://github.com/google-research/language

Shared repository for open-sourced projects from the Google AI Language team.

machine-learning natural-language-processing research

Last synced: 02 Aug 2024

https://github.com/ranahanocka/MeshCNN

Convolutional Neural Network for 3D meshes in PyTorch

3d computer-graphics convolutional-neural-networks geometric-deep-learning machine-learning mesh pytorch segmentation

Last synced: 31 Jul 2024

https://github.com/lovoo/NSFWDetector

A NSFW (aka porn) detector with CoreML

cocoapods coreml ios ios-library lovoo machine-learning swift

Last synced: 14 Aug 2024

https://github.com/aws-samples/aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class

computer-vision deep-learning gluon gluoncv machine-learning mxnet python

Last synced: 03 Aug 2024

https://github.com/Microsoft/EdgeML

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

bonsai classifier cpp deep-learning edge-computing edge-devices edge-machine-learning emi-rnn fastgrnn fastrnn iot-device machine-learning machine-learning-algorithms microsoft microsoft-research protonn pytorch resource-constrained-ml sensor tensorflow

Last synced: 02 Aug 2024

https://github.com/microsoft/EdgeML

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Last synced: 01 Aug 2024

https://github.com/google/nerfies

This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

3d machine-learning nerf neural-network neural-rendering

Last synced: 01 Aug 2024

https://github.com/cdipaolo/goml

On-line Machine Learning in Go (and so much more)

machine-learning

Last synced: 30 Jul 2024

https://github.com/explosion/spacy-models

💫 Models for the spaCy Natural Language Processing (NLP) library

machine-learning machine-learning-models models natural-language-processing nlp spacy spacy-models statistical-models

Last synced: 31 Jul 2024

https://github.com/4paradigm/OpenMLDB

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

database-for-ai database-for-machine-learning feature-engineering feature-extraction feature-store featureops featurestore in-memory-database machine-learning machine-learning-database mlops

Last synced: 01 Aug 2024

https://github.com/instacart/lore

Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers

machine-learning python

Last synced: 30 Jul 2024

https://github.com/cdipaolo/Goml

On-line Machine Learning in Go (and so much more)

machine-learning

Last synced: 30 Jul 2024

https://github.com/dotnet/infer

Infer.NET is a framework for running Bayesian inference in graphical models

bayesian-inference machine-learning

Last synced: 01 Aug 2024

https://github.com/google/uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

clustering machine-learning speaker-diarization speaker-recognition supervised-clustering supervised-learning uis-rnn

Last synced: 03 Aug 2024

https://github.com/nautechsystems/nautilus_trader

A high-performance algorithmic trading platform and event-driven backtester

algorithmic-trading-engine artificial-intelligence crypto-trading equity-trading forex futures-trading machine-learning options-trading python rust sports-betting trading trading-platform

Last synced: 31 Jul 2024

https://dotnet.github.io/infer/

Infer.NET is a framework for running Bayesian inference in graphical models

bayesian-inference machine-learning

Last synced: 01 Aug 2024

https://github.com/Trusted-AI/AIX360

Interpretability and explainability of data and machine learning models

artificial-intelligence codait deep-learning explainabil explainable-ai explainable-ml ibm-research ibm-research-ai machine-learning trusted-ai trusted-ml xai

Last synced: 31 Jul 2024

https://github.com/IBM/AIX360

Interpretability and explainability of data and machine learning models

artificial-intelligence codait deep-learning explainabil explainable-ai explainable-ml ibm-research ibm-research-ai machine-learning trusted-ai trusted-ml xai

Last synced: 29 Jul 2024

https://github.com/dustinvtran/ml-videos

A collection of video resources for machine learning

conference machine-learning statistics summer-schools video workshops

Last synced: 01 Aug 2024

https://github.com/rsxdalv/tts-generation-webui

TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, MAGNet, StyleTTS2, MMS)

ai audio-generation audiogen bark deep-learning generator gradio machine-learning magnet music musicgen rvc seamlessm4t styletts2 text-to-speech torch tortoise-tts tts vocos web

Last synced: 01 Aug 2024

https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX

Convert Apple NeuralHash model for CSAM Detection to ONNX.

apple machine-learning neuralhash reverse-engineering

Last synced: 30 Jul 2024

https://github.com/chemprop/chemprop

Message Passing Neural Networks for Molecule Property Prediction

chemistry drug-discovery machine-learning neural-networks

Last synced: 03 Aug 2024

https://github.com/alkaline-ml/pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

arima econometrics forecasting forecasting-models machine-learning pmdarima python sarimax time-series

Last synced: 30 Jul 2024

https://github.com/tgsmith61591/pyramid

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

arima econometrics forecasting forecasting-models machine-learning pmdarima python sarimax time-series

Last synced: 05 Aug 2024

https://github.com/devnag/pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

deep-learning gan gans machine-learning pytorch

Last synced: 30 Jul 2024

https://github.com/spiceai/spiceai

A unified SQL query interface and portable runtime to locally materialize, accelerate, and query datasets from any database, data warehouse, or data lake.

artificial-intelligence data developers infrastructure machine-learning sql time-series

Last synced: 01 Aug 2024

https://github.com/KomputeProject/kompute

General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

cpp deep-learning deep-learning-gpu gpgpu gpu-computing machine-learning machine-learning-gpu python vulkan vulkan-compute vulkan-compute-example vulkan-compute-framework vulkan-compute-tutorial vulkan-demos vulkan-example vulkan-tutorial

Last synced: 01 Aug 2024

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

Optax is a gradient processing and optimization library for JAX.

machine-learning optimization

Last synced: 01 Aug 2024

https://github.com/datamade/usaddress

:us: a python library for parsing unstructured United States address strings into address components

address address-parser conditional-random-fields crf machine-learning natural-language-processing nlp parserator python python-library

Last synced: 01 Aug 2024

https://github.com/bfelbo/DeepMoji

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

ai deep-learning keras machine-learning natural-language-processing neural-networks nlp python sentiment-analysis tensorflow text-classification

Last synced: 02 Aug 2024

https://github.com/nubank/fklearn

fklearn: Functional Machine Learning

data-analysis data-science machine-learning ml python

Last synced: 01 Aug 2024

https://github.com/ahangchen/GDLnotes

Google Deep Learning Notes（TensorFlow教程）

deep-learning machine-learning tensorflow

Last synced: 02 Aug 2024

https://github.com/luwill/Machine_Learning_Code_Implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

jupyter-notebook machine-learning python

Last synced: 01 Aug 2024

https://github.com/dair-ai/Transformers-Recipe

🧠 A study guide to learn about Transformers

ai deep-learning machine-learning natural-language-processing nlp

Last synced: 01 Aug 2024

https://github.com/enzoampil/fastquant

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

algotrading backtesting cryptocurrency data-science financial-data-science machine-learning quantitative-finance stocks trading-strategies

Last synced: 31 Jul 2024

https://github.com/AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.

auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost

Last synced: 02 Aug 2024

https://github.com/Hironsan/anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

deep-learning keras machine-learning named-entity-recognition natural-language-processing sequence-labeling

Last synced: 01 Aug 2024

https://github.com/pkmital/CADL

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

deep-learning dockerfile jupyter-notebook machine-learning mooc neural-network tensorflow tutorial workshop

Last synced: 02 Aug 2024

https://github.com/BloodAxe/pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

augmentation deep-learning focal-loss image-classification image-processing image-segmentation jaccard-loss kaggle machine-learning object-detection pipeline python pytorch segmentation test-time-augmentation tta

Last synced: 01 Aug 2024

https://github.com/SeldonIO/seldon-server

Machine Learning Platform and Recommendation Engine built on Kubernetes

aws azure cloud deep-learning deployment docker gcp java kafka kafka-streams kubernetes machine-learning microservices prediction python recommendation-engine recommender-system seldon spark tensorflow

Last synced: 03 Aug 2024

https://github.com/adblockradio/adblockradio

An adblocker for live radio streams and podcasts. Machine learning meets Shazam.

adblock adblockradio ai keras machine-learning shazam signal-processing tensorflow

Last synced: 30 Jul 2024

https://github.com/tensorflow/model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

compression deep-learning keras machine-learning ml model-compression optimization pruning quantization quantized-networks quantized-neural-networks quantized-training sparsity tensorflow

Last synced: 31 Jul 2024

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

Tutorials and training material for the H2O Machine Learning Platform

data-science deep-learning h2o machine-learning python r tutorial

Last synced: 30 Jul 2024

https://github.com/samim23/polymath

Convert any music library into a music production sample-library with ML

audio machine-learning ml music python

Last synced: 04 Aug 2024

https://github.com/dair-ai/nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

deep-learning machine-learning nlp

Last synced: 30 Jul 2024

https://github.com/modelfoxdotdev/modelfox

ModelFox makes it easy to train, deploy, and monitor machine learning models.

automl developer-tools elixir elixir-lang go golang javascript js machine-learning mlops python python3 ruby ruby-on-rails rust rust-crate rust-lang rust-library rustlang

Last synced: 31 Jul 2024

https://github.com/o19s/elasticsearch-learning-to-rank

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

elasticsearch elasticsearch-plugin elasticsearch-plugins machine-learning relevant-search search-relevance

Last synced: 31 Jul 2024

https://github.com/invictus717/MetaTransformer

Meta-Transformer for Unified Multimodal Learning

artificial-intelligence computer-vision foundationmodel machine-learning multimedia multimodal transformers

Last synced: 01 Aug 2024

https://github.com/datawhalechina/key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

deep-learning key-book machine-learning

Last synced: 31 Jul 2024

https://github.com/FluxML/Zygote.jl

21st century AD

automatic-differentiation control-flow gradient julia julia-compiler machine-learning

Last synced: 31 Jul 2024

https://github.com/kubeflow/katib

Automated Machine Learning on Kubernetes

ai automl huggingface hyperparameter-tuning jax kubeflow kubernetes llm machine-learning mlops neural-architecture-search pytorch scikit-learn tensorflow

Last synced: 01 Aug 2024

https://github.com/kubeflow/training-operator

Distributed ML Training and Fine-Tuning on Kubernetes

ai distributed fine-tuning gpu huggingface jax kubeflow kubernetes llm machine-learning mlops python pytorch tensorflow xgboost

Last synced: 02 Aug 2024

https://github.com/kubeflow/tf-operator

Distributed ML Training and Fine-Tuning on Kubernetes

ai distributed fine-tuning gpu huggingface jax kubeflow kubernetes llm machine-learning mlops python pytorch tensorflow xgboost

Last synced: 19 Aug 2024

https://github.com/lyuchenyang/Macaw-LLM

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

deep-learning language-model machine-learning multi-modal-learning natural-language-processing neural-networks

Last synced: 01 Aug 2024

https://github.com/amitkaps/hackermath

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

calculus linear-algebra machine-learning python statistics

Last synced: 30 Jul 2024

https://github.com/ironmussa/Optimus

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

big-data-cleaning bigdata cudf dask dask-cudf data-analysis data-cleaner data-cleaning data-cleansing data-exploration data-extraction data-preparation data-profiling data-science data-transformation data-wrangling machine-learning pyspark spark

Last synced: 30 Jul 2024

https://github.com/hi-primus/optimus

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Last synced: 31 Jul 2024

https://github.com/Tiiiger/bert_score

BERT score for text generation

machine-learning natural-language-processing

Last synced: 01 Aug 2024

https://github.com/sepandhaghighi/pycm

Multi-class confusion matrix library in Python

accuracy ai artificial-intelligence classification confusion-matrix data data-analysis data-mining data-science deep-learning deeplearning evaluation machine-learning mathematics matrix ml multiclass-classification neural-network statistical-analysis statistics

Last synced: 02 Aug 2024

https://github.com/HuwCampbell/grenade

Deep Learning in Haskell

convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-networks haskell machine-learning

Last synced: 31 Jul 2024

https://github.com/BindsNET/bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

dynamic gpu-computing machine-learning neurons pytorch reinforcement-learning simulation snn spiking-neural-networks stdp synapse

Last synced: 02 Aug 2024

https://github.com/MLReef/mlreef

The collaboration workspace for Machine Learning

artificial-intelligence data-science deep-learning deeplearning machine-learning machine-learning-algorithms mlops mlops-environment models mxnet pytorch reproducibility tensorflow

Last synced: 31 Jul 2024

https://github.com/igrigorik/decisiontree

ID3-based implementation of the ML Decision Tree algorithm

decision-tree machine-learning ruby rubyml

Last synced: 31 Jul 2024

https://github.com/alexrozanski/LlamaChat

Chat with your favourite LLaMA models in a native macOS app

ai llama llamacpp machine-learning macos swift swiftui

Last synced: 31 Jul 2024

https://github.com/visual-layer/fastdup

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

data-augmentation data-curation dataset deep-learning image image-analysis image-classfication image-classification image-duplicate-detection image-processing image-similarity machine-learning novelty-detection object-detection outlier-detection python visual-search visualization visualization-tools

Last synced: 01 Aug 2024

https://github.com/amitshekhariitbhu/AndroidTensorFlowMachineLearningExample

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

deep-learning deep-learning-tutorial deep-neural-networks deeplearning machine-learning machine-learning-android tensorflow tensorflow-android tensorflow-examples tensorflow-models tensorflow-tutorials

Last synced: 01 Aug 2024

https://github.com/pavlin-policar/openTSNE

Extensible, parallel implementations of t-SNE

dimensionality-reduction embedding machine-learning tsne visualization

Last synced: 01 Aug 2024

https://github.com/DLTK/DLTK

Deep Learning Toolkit for Medical Image Analysis

cnn data-science deep-learning deep-neural-networks dltk dltk-model-zoo machine-learning medical medical-image-processing medical-imaging ml neural-network neural-networks neuroimaging python tensorflow

Last synced: 02 Aug 2024

https://github.com/JustGlowing/minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

clustering dimensionality-reduction machine-learning manifold-learning neural-networks outlier-detection self-organizing-map som unsupervised-learning vector-quantization

Last synced: 02 Aug 2024

https://github.com/demidovakatya/vvedenie-mashinnoe-obuchenie

:memo: Подборка ресурсов по машинному обучению

collections data-mining data-science deep-learning machine-learning mooc neural-networks nlp russian university

Last synced: 07 Aug 2024

https://github.com/google/budoux

javascript machine-learning nlp python

Last synced: 31 Jul 2024

https://github.com/capitalone/DataProfiler

What's in your data? Extract schema, statistics and entities from datasets

avro csv data-analysis data-labels data-science dataprofiling dataset gdpr graph-data machine-learning network-data nlp npi pandas pii privacy python security sensitive-data tabular-data

Last synced: 01 Aug 2024

https://github.com/torchgan/torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

computer-vision deep-learning gans generative-adversarial-networks generative-model machine-learning neural-networks python python3 pytorch

Last synced: 01 Aug 2024

https://github.com/capitalone/dataprofiler

What's in your data? Extract schema, statistics and entities from datasets

avro csv data-analysis data-labels data-science dataprofiling dataset gdpr graph-data machine-learning network-data nlp npi pandas pii privacy python security sensitive-data tabular-data

Last synced: 29 Jul 2024

https://github.com/ydataai/ydata-synthetic

Synthetic data generators for tabular and time-series data

datageneration datagenerator deep-learning gan gan-architectures gans generative-adversarial-network machine-learning python3 pytorch synthetic-data tensorflow2 time-series timeseries training-data

Last synced: 01 Aug 2024

https://github.com/metric-learn/metric-learn

Metric learning algorithms in Python

machine-learning metric-learning python scikit-learn

Last synced: 07 Aug 2024

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

Metric learning algorithms in Python

machine-learning metric-learning python scikit-learn

Last synced: 01 Aug 2024

https://github.com/nod-ai/SHARK

SHARK - High Performance Machine Learning Distribution

amd apple-silicon deep-learning machine-learning mlir nvidia pytorch

Last synced: 01 Aug 2024

https://github.com/TorchCraft/TorchCraft

Connecting Torch to StarCraft

bwapi deep-learning machine-learning reinforcement-learning starcraft torch torchcraft

Last synced: 30 Jul 2024

https://github.com/code-kern-ai/refinery

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

active-learning annotations artificial-intelligence data-centric-ai data-labeling data-science deep-learning human-in-the-loop labeling labeling-tool machine-learning natural-language-processing neural-search nlp python spacy supervised-learning text-annotation text-classification transformers

Last synced: 31 Jul 2024

https://github.com/DragonComputer/Dragonfire

the open-source virtual assistant for Ubuntu based Linux distributions

artificial-intelligence chatbot kaldi linux machine-learning nlp personal-assistant spacy speech-recognition speech-to-text text-to-speech ubuntu virtual-assistant

Last synced: 01 Aug 2024

https://github.com/google/uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 01 Aug 2024

https://github.com/google/generative-ai-docs

Documentation for Google's Gen AI site - including the Gemini API and Gemma

ai chatbot documentation embeddings gemini gemini-api gemma llm machine-learning

Last synced: 04 Aug 2024

https://github.com/GeostatsGuy/PythonNumericalDemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

datanalytics geostatistics machine-learning python

Last synced: 02 Aug 2024

https://github.com/advboxes/AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

adversarial-attacks adversarial-example adversarial-examples deep-learning deepfool fgsm graphpipe machine-learning onnx paddlepaddle security