PraisonAI 🦞 - Your 24/7 AI employee team. Automate and solve complex challenges with low-code multi-agent AI that plans, researches, codes, and delivers to Telegram, Discord, and WhatsApp. Handoffs, guardrails, memory, RAG, 100+ LLMs.

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.

Ultralytics YOLO 🚀

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Apache Superset is a Data Visualization and Data Exploration Platform

Tensors and Dynamic neural networks in Python with strong GPU acceleration

MLX: An array framework for Apple silicon

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

An Open Source Machine Learning Framework for Everyone

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

A hyperparameter optimization framework

Query Engine for AI Analytics: Build self-reasoning agents across all your live data

Fast and Accurate ML in 3 Lines of Code

Streamlit — A faster way to build and share data apps.

Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.

Best Practices on Recommendation Systems

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Minimalist ML framework for Rust

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

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

🦉 Data Versioning and ML Experiments

⚡ Python-free Rust inference server — OpenAI-API compatible. GGUF + SafeTensors, hot model swap, auto-discovery, single binary. FREE now, FREE forever.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

Zipline, a Pythonic Algorithmic Trading Library

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Visualizer for neural network, deep learning and machine learning models

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

The Open Source Feature Store for AI/ML

The world's simplest facial recognition api for Python and the command line

Apache Spark - A unified analytics engine for large-scale data processing

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

A unified framework for machine learning with time series

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Deep Learning for humans

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

结巴中文分词

A computer algebra system written in pure Python

Python Toolkit for Causal and Probabilistic Reasoning

Declarative visualization library for Python

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

The fastai deep learning library

Unsupervised text tokenizer for Neural Network-based text generation.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Graph Neural Network Library for PyTorch

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Code samples for my book "Neural Networks and Deep Learning"

Fast data visualization and GUI tools for scientific / engineering applications

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

💫 Industrial-strength Natural Language Processing (NLP) in Python

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Distributed Evolutionary Algorithms in Python

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Algorithmic Trading in Python with Machine Learning

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Statsmodels: statistical modeling and econometrics in Python

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

🌊 Online machine learning in Python

NobodyWho is an inference engine that lets you run LLMs locally and efficiently on any device.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Topic Modelling for Humans

An open-source, low-code machine learning library in Python

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.

Leading free and open-source face recognition system

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Convolutional Neural Networks

Lime: Explaining the predictions of any machine learning classifier

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

An open source python library for automated feature engineering

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Feature engineering and selection open-source Python library compatible with sklearn.

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

A Comparative Framework for Multimodal Recommender Systems

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

modest natural-language processing

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

A customisable 3D platform for agent-based AI research

Recipes for using Python's pandas library

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

oneAPI Deep Neural Network Library (oneDNN)

A python library for self-supervised learning on images.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework

Machine learning with dataframes

Time series forecasting with machine learning models

A security scanner for your LLM agentic workflows

The Classical Language Toolkit

ML.NET is an open source and cross-platform machine learning framework for .NET.

A flexible framework of neural networks for deep learning

Simple and Distributed Machine Learning

An Engine-Agnostic Deep Learning Framework in Java

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Accelerated deep learning R&D

Gota: DataFrames and data wrangling in Go (Golang)

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

🪼 a python library for doing approximate and phonetic matching of strings.

Reinforcement Learning environments based on the 1993 game Doom :godmode:

RetinaFace: Deep Face Detection Library for Python

A Julia machine learning framework

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Interactive Data Visualization in the browser, from Python

Apache Hadoop

general natural language facilities for node

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

Notebooks and code for the book "Introduction to Machine Learning with Python"

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

Friendly machine learning for the web! 🤖

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

State of the Art Natural Language Processing

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Retro Games in Gym

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

A toolkit for reproducible reinforcement learning research.

The Fastest DNN Running Framework on Web Browser

Metric learning algorithms in Python

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

An open source ML system for the end-to-end data science lifecycle

Generalized linear models in Julia

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库 [NeurIPS'25]

Dataset manipulation library built on the top of tech.ml.dataset

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

Perform data science on data that remains in someone else's server

End-to-End Speech Processing Toolkit

Bayesian Modeling and Probabilistic Programming in Python

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

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.

architecture-free neural network library for node.js and the browser

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

Image processing in Python

A scikit-learn compatible neural network library that wraps PyTorch

Gorgonia is a library that helps facilitate machine learning in Go.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

🆔 A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

Deep Learning GPU Training System

Snips Python library to extract meaning from text

Jupyter notebooks from the scikit-learn video series

Plotting library for IPython/Jupyter notebooks

simple statistics for node & browser javascript

Debugging, monitoring and visualization for Python Machine Learning and Data Science

StellarGraph - Machine Learning on Graphs

Survival analysis in Python

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

natural language processor powered by plugins part of the @unifiedjs collective

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Distributed, masterless, high performance, fault tolerant data processing

Deep learning in Rust, with shape checked tensors and neural networks

S2 geometry library in Go

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

Toolbox of models, callbacks, and datasets for AI/ML researchers.

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

The Python ensemble sampling toolkit for affine-invariant MCMC

Machine learning for NeuroImaging in Python

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Deep Learning framework for Julia

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

A Julia package for probability distributions and associated functions.

Package geom implements efficient geometry types for geospatial applications.

Recurrent Neural Network library for Torch7's nn

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Tabular Deep Learning Library for PyTorch

A Clojure high performance data processing system

Fast topic modeling platform

An optimized graphs package for the Julia programming language

Tools for exploratory data analysis in Python

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

Build fully-functioning computer vision models with PyTorch

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Word Embeddings in Go!

Library for translating between 200 languages. Built on 🤗 transformers.

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

A multilingual command line sentence tokenizer in Golang

A lightweight C++ machine learning library for embedded electronics and robotics.

Open solution to the Home Credit Default Risk challenge 🏡

A fast Clojure Tensor & Deep Learning library

Library of autoencoders for sequential data

a generic C++ library for image analysis

Fast, easy automatic differentiation in C++

Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)

Julia package for text analysis

Time series toolkit for Julia

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.

Hypothesis tests for Julia

XGBoost Julia Package

Event datasets and transforms.

A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

kaldi-asr/kaldi is the official location of the Kaldi project.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

Turi Create simplifies the development of custom machine learning models.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Production infrastructure for machine learning at scale

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

Fit interpretable models. Explain blackbox machine learning.

Python library for processing Chinese text

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

Facebook AI Research's Automatic Speech Recognition Toolkit

A Python wrapper for Google Tesseract

Matlab code of machine learning algorithms in book PRML

Find Dates, Places, Times, and More. A .js library for parsing text for specific information.

Run Keras models in the browser, with GPU support using WebGL

A machine learning package built for humans.

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

Reading Wikipedia to Answer Open-Domain Questions

♾️ CML - Continuous Machine Learning | CI/CD for ML

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

Lightweight library to build and train neural networks in Theano

Code accompanying the book "Machine Learning for Hackers"

Main repository for Vispy

A Scala API for Cascading

DyNet: The Dynamic Neural Network Toolkit

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

NumPy and Pandas interface to Big Data

a delightful machine learning tool that allows you to train, test, and use models without writing code

Twitter Text Libraries. This code is used at Twitter to tokenize and parse text to meet the expectations for what can be used on the platform.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Shōgun

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

MITIE: library and tools for information extraction

A Hyperparameter Tuning Library for Keras

Another Python Machine Learning Library.

Warning: This project does not have any current developer. See bellow.

Machine learning tools in JavaScript

Machine learning platform for Web developers

An intuitive library to add plotting functionality to scikit-learn objects.

Multilingual text (NLP) processing toolkit

A modular active learning framework for Python

🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications

NLP, before and after spaCy

Open source Python module for computer vision

Crafty statistical graphics for Julia.

Self-contained Machine Learning and Natural Language Processing library in Go

In-memory tabular data in Julia

Code repository for Think Bayes.

Hyper-parameter optimization for sklearn

ThunderSVM: A Fast SVM Library on GPUs and CPUs

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

Globe wireframe visualizations in Golang

Library for factorization machines

A python library for implementing a recommender system

Koç University deep learning framework.

a plottling library for python, based on D3

Deep learning in Python

Natural language processing framework for Ruby.

Neural Network package for Torch.

Interactive, node-by-node debugging and visualization for TensorFlow

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Pytorch Lightning code guideline for conferences

Hopsworks - Data-Intensive AI platform with a Feature Store

Survival analysis built on top of scikit-learn

Business Intelligence (BI) in Python, OLAP

Machine learning in Clojure

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

A python framework to transform natural language questions to queries in a database query language.

Python bindings for Clojure

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

GPU-Accelerated Deep Learning Library in Python

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

UNMAINTAINED! Renders beautiful SVG maps in Python.

Torch on steroids

simple artificial intelligence utilities

Metric learning and retrieval pipelines, models and zoo.

Sparkling Water provides H2O functionality inside Spark cluster

Restricted Boltzmann Machines in Python.

Tooling for GANs in TensorFlow

Curve Fitting in JavaScript.

The Fastest Deep Reinforcement Learning Library

CPU and GPU-accelerated Machine Learning Library

🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

Rumale is a machine learning library in Ruby

Fast multilayer perceptron neural network library for iOS and Mac OS X

Scientific and statistical computing in JavaScript.

gesture recognition toolkit

PyTorch implementation of neural style transfer algorithm

ML-Ensemble – high performance ensemble learning

a Jupyter kernel for Clojure

Data visualizations in Clojure and ClojureScript using Vega and Vega-lite

Naive Bayesian Classification for Golang.

A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

A machine learning package for streaming data in Python. The other ancestor of River.

ML powered analytics engine for outlier detection and root cause analysis.

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

:bowtie: Create a dashboard with python!

Natural Language Processing in Clojure (opennlp)

An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trainings using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.

A general classifier module to allow Bayesian and LSI classifications.

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

A Modern C++ Data Sciences Toolkit

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

ThunderGBM: Fast GBDTs and Random Forests on GPUs

A DSL for deep neural networks, supporting Caffe and Torch

Machine Learning for RC Cars

Machine Learning toolbox for Humans

Lucid library adapted for PyTorch

Machine learning crate for Rust

A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Stanford NLP for .NET

Python wrapper for Stanford CoreNLP tools v3.4.1

MILK: Machine Learning Toolkit

A state-of-the-art generic dense feature extractor. **[Deprecated]**

Swift Matrix Library

Collection of models for Core ML

library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.

Some sample IPython notebooks for scikit-learn

Map-Reduce for Clojure

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

Neural network inference the Unix way

Autograd automatically differentiates native Torch code

FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

A Python Library for Self Organizing Map (SOM)

An image library for Julia

Machine Learning library for the web and Node.

Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.

Python package for Bayesian Machine Learning with scikit-learn API

Lightwood is Legos for Machine Learning.

Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)

Reinforcement learning using Markov Decision Processes. For JS, written in C++.

Metaprogramming tools for DataFrames

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

the best machine learning tutorials on the web

A Julia package for evaluating distances (metrics) between vectors.

Dynamic Neural Networks Architect

A Julia package for fitting (statistical) mixed-effects models

Simple, realtime visualization of neural network training performance.

Filter design, periodograms, window functions, and other digital signal processing functionality

Glot is a plotting library for Golang built on top of gnuplot.

Distributed decision tree ensemble learning in Scala

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Purely functional artificial neural network library implemented in Haskell.

bioruby

The iOS and OS X neural network framework

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

A High-level Machine Learning Library for Go

A Julia package for data clustering

Sparkling Pandas

GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN

Scalable Machine Learning in Scalding

Reinforcement Learning in Go

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI :octocat:

A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source.

A neural network crate

A CUDA backend for Torch7

A deep learning library for streamlining research and development using the Torch7 distribution.

The Push programming language and the PushGP genetic programming system implemented in Clojure.

Straight forward plotting built on D3

Ruby - R bridge.

Serverless proxy for Spark cluster

Cybertron: the home planet of the Transformers in Go

A Julia package for Gaussian Processes

Hierarchical Temporal Memory implementation in Java - an official Community-Driven Java port of the Numenta Platform for Intelligent Computing (NuPIC).

Pyevolve

Parris, the automated infrastructure setup tool for machine learning algorithms.

Java version of LIBLINEAR

Graph Computation for nn

Support Vector Machines for nodejs

LDA topic modeling for node.js

A Clojure dataframe library that runs on Spark

Fire up your models with the flame 🔥

Current version of the SuperLearner R package

Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)

Maze Applied Reinforcement Learning Framework

OCaml bindings for TensorFlow

A lightweight framework for data analysis in JavaScript.

Simple machine learning library / 簡單易用的機器學習套件

Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications

Ruby language bindings for LIBSVM

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

Fast primitive based math library

A general purpose recommender metrics library for fair evaluation.

C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training. **[Deprecated]**

A fast Evolution Strategy implementation in Python

A Relational Algebra

A CPU and GPU-accelerated matrix library for data mining

A C library for product recommendations/suggestions using collaborative filtering (CF)

VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution

Chalk is a natural language processing library.

Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

Frouros: an open-source Python library for drift detection in machine learning systems.

Expose libstemmer_c to Ruby

Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

A Clojure machine learning library

a chinese segment base on crf

BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Deep learning library featuring a higher-level API for TensorFlow.

Machine Learning for Go

Simple feed-forward neural network in JavaScript

An open source library for deep learning end-to-end dialog systems and chatbots.

The Swift machine learning library.

✨ The fundamental numerical library for JavaScript and TypeScript. ✨

Efficient Image Captioning code in Torch, runs on GPU

Open Machine Intelligence Framework for Hackers. (GPU/CPU)

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Fast parallel CTC.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

ggplot port for python

Breeze is/was a numerical processing library for Scala.

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Go Language Library for SVG generation

DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.

Streaming MapReduce with Scalding and Storm

Homomorphic machine learning

[UNMAINTAINED] Automated machine learning for analytics & production

Spearmint Bayesian optimization codebase

Multi-class confusion matrix library in Python

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

Fast, flexible and fun neural networks.

Machine Learning library for Rust

Vector, matrix and geometry math JavaScript

Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

TensorFlow API for the Scala Programming Language

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Figaro Programming Language and Core Libraries

Ensembles of decision trees in go/golang.

Automated modeling and machine learning framework FEDOT

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

oneAPI Data Analytics Library (oneDAL)

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Text and supporting code for Think OS: A Brief Introduction to Operating Systems, by Allen Downey.

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

An Open-Source Machine Learning Framework in Rust Δ

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

PredictionIO, a machine learning server for developers and ML engineers.

A Rust machine learning framework.

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Fast, flexible and easy to use probabilistic modelling in Python.

Neural Networks written in go

Making large AI models cheaper, faster and more accessible

Fuzzy String Matching in Python

Swift for TensorFlow

Rust bindings for the C++ api of PyTorch.

Abstract Algebra for Scala

A library of statistical distribution sampling and transducing functions

Caffe: a fast open framework for deep learning.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Machine learning, in numpy

Production ready toolkit to run AI locally

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Data Apps & Dashboards for Python. No JavaScript Required.