awesome-machine-learning

Machine Learning
https://github.com/jacob98415/awesome-machine-learning

Last synced: 9 days ago
JSON representation

Credits
- General-Purpose Machine Learning
  - vinta
  - gopherdata
Ruby
- General-Purpose Machine Learning
  - Awesome Machine Learning with Ruby - Curated list of ML related resources for Ruby.
  - Awesome NLP with Ruby - Curated link list for practical natural language processing in Ruby.
  - Raspell - raspell is an interface binding for ruby. **[Deprecated]**
  - Twitter-text-rb - A library that does auto linking and extraction of usernames, lists and hashtags in tweets.
  - ruby-plot - gnuplot wrapper for Ruby, especially for plotting ROC curves into SVG files. **[Deprecated]**
  - SciRuby
  - rumale - Rumale is a machine learning library in Ruby
  - rb-libsvm - Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
  - Treat - Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
  - Bioruby
  - Scoruby - Creates Random Forest classifiers from PMML files.
  - Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash. [Demo/Search for a list](http://kevincobain2000.github.io/listof/)
  - CardMagic-Classifier - A general classifier module to allow Bayesian and other types of classifications.
  - plot-rb - A plotting library in Ruby built on top of Vega and D3. **[Deprecated]**
  - scruffy - A beautiful graphing toolkit for Ruby.
  - data-visualization-ruby - Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby. **[Deprecated]**
  - Arel
  - jRuby Mahout - JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby. **[Deprecated]**
  - Stemmer - Expose libstemmer_c to Ruby. **[Deprecated]**
  - UEA Stemmer - Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.
  - Ruby Machine Learning - Some Machine Learning algorithms, implemented in Ruby. **[Deprecated]**
  - Machine Learning Ruby
  - rsruby - Ruby - R bridge.
  - SciRuby
  - Glean - A data management tool for humans. **[Deprecated]**
  - Big Data For Chimps
Swift
- General-Purpose Machine Learning
  - Awesome Core ML Models - A curated list of machine learning models in CoreML format.
  - Swift Brain - The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc...
  - AIToolbox - A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
  - Bender - Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
  - Swift AI - Highly optimized artificial intelligence and machine learning library written in Swift.
  - swix - A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development. **[Deprecated]**
  - Awesome CoreML - A curated list of pretrained CoreML models.
  - Swift for Tensorflow - a next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond.
  - MLKit - A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
  - PredictionBuilder - A library for machine learning that builds predictions using a linear regression.
  - BrainCore - The iOS and OS X neural network framework.
  - Perfect TensorFlow - Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
TensorFlow
- General-Purpose Machine Learning
  - Awesome TensorFlow - A list of all things related to TensorFlow.
  - Awesome Keras - A curated list of awesome Keras projects, libraries and resources.
  - Golden TensorFlow - A page of content on TensorFlow, including academic papers and links to related topics.
JavaScript
- [Tools](#tools-1)
  - Twitter-text - A JavaScript implementation of Twitter's text processing library.
  - dimple
  - amCharts
  - chartjs
  - D3.js
  - High Charts
  - ZingChart - library written on Vanilla JS for big data visualization.
  - Convnet.js - ConvNetJS is a JavaScript library for training Deep Learning models[DEEP LEARNING] **[Deprecated]**
  - C3.js - customizable library based on D3.js for easy chart drawing.
  - Datamaps - Customizable SVG map/geo visualizations using D3.js. **[Deprecated]**
  - cheminfo - Platform for data visualization and analysis, using the [visualizer](https://github.com/npellet/visualizer) project.
  - Learn JS Data
  - AnyChart
  - FusionCharts
  - figue - K-means, fuzzy c-means and agglomerative clustering.
  - mil-tokyo - List of several machine learning libraries.
  - Heroes Wear Masks - A fun TensorFlow.js-based oracle that tells, whether one wears a face mask or not. It can even tell when one wears the mask incorrectly.
  - Rock Paper Scissors - Rock Paper Scissors trained in the browser with TensorFlow.js
  - Netron - Visualizer for machine learning models.
  - natural - General natural language facilities for node.
  - Brain.js - Neural networks in JavaScript - continued community fork of [Brain](https://github.com/harthur/brain).
  - Keras.js - Run Keras models in the browser, with GPU support provided by WebGL 2.
  - Pavlov.js - Reinforcement learning using Markov Decision Processes.
  - ml.js - Machine learning and numerical analysis tools for Node.js and the Browser!
  - simple-statistics - A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js.
  - nlp.js - An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
  - regression-js - A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
  - ml5 - Friendly machine learning for the web!
  - NLP Compromise - Natural Language processing in the browser.
  - Synaptic - Architecture-free neural network library for Node.js and the browser.
  - Brain - Neural networks in JavaScript **[Deprecated]**
  - WebDNN - Fast Deep Neural Network JavaScript Framework. WebDNN uses next generation JavaScript API, WebGPU for GPU execution, and WebAssembly for CPU execution.
  - Retext - Extensible system for analyzing and manipulating natural language.
  - Pipcook - A JavaScript application framework for machine learning and its engineering.
  - stdlib - A standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
  - D3xter - Straight forward plotting built on D3. **[Deprecated]**
  - shaman - Node.js library with support for both simple and multiple linear regression. **[Deprecated]**
  - Auto ML - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! **[Deprecated]**
  - machinelearn.js - Machine Learning library for the web, Node.js and developers
  - LDA.js - LDA topic modelling for Node.js
  - NeuralN - C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training. **[Deprecated]**
  - dc.js
  - sylvester - Vector and Matrix math for JavaScript. **[Deprecated]**
  - Learning.js - JavaScript implementation of logistic regression/c4.5 decision tree **[Deprecated]**
  - Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js **[Deprecated]**
  - Clustering.js - Clustering algorithms implemented in JavaScript for Node.js and the browser. **[Deprecated]**
  - statkit - Statistics kit for JavaScript. **[Deprecated]**
  - Node-SVM - Support Vector Machine for Node.js
  - Bayesian-Bandit - Bayesian bandit implementation for Node and the browser. **[Deprecated]**
  - Knwl.js - A Natural Language Processor in JS.
  - xgboost-node - Run XGBoost model and make predictions in Node.js.
  - dimple
  - datakit - A lightweight framework for data analysis in JavaScript
  - Z3d - Easily make interactive 3d plots built on Three.js **[Deprecated]**
  - Learn JS Data
  - Gaussian Mixture Model - Unsupervised machine learning with multivariate Gaussian mixture model.
  - Kmeans.js - Simple JavaScript implementation of the k-means algorithm, for node.js and the browser. **[Deprecated]**
  - kNear - JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
  - kalman - Kalman filter for JavaScript. **[Deprecated]**
  - JSMLT - Machine learning toolkit with classification and clustering for Node.js; supports visualization (see [visualml.io](https://visualml.io)).
  - tensor-js - A deep learning library for the browser, accelerated by WebGL and WebAssembly.
  - Lyric - Linear Regression library. **[Deprecated]**
  - GreatCircle - Library for calculating great circle distance.
  - MLPleaseHelp - MLPleaseHelp is a simple ML resource search engine. You can use this search engine right now at [https://jgreenemi.github.io/MLPleaseHelp/](https://jgreenemi.github.io/MLPleaseHelp/), provided via GitHub Pages.
  - The Bot - Example of how the neural network learns to predict the angle between two points created with [Synaptic](https://github.com/cazala/synaptic).
  - Half Beer - Beer glass classifier created with [Synaptic](https://github.com/cazala/synaptic).
  - Clusterfck - Agglomerative hierarchical clustering implemented in JavaScript for Node.js and the browser. **[Deprecated]**
  - TensorFlow.js - A WebGL accelerated, browser based JavaScript library for training and deploying ML models.
  - Decision Trees - NodeJS Implementation of Decision Tree using ID3 Algorithm. **[Deprecated]**
  - science.js - Scientific and statistical computing in JavaScript. **[Deprecated]**
  - DN2A - Digital Neural Networks Architecture. **[Deprecated]**
  - NVD3.js
  - Nivo - built on top of the awesome d3 and Reactjs libraries
.NET
- [Tools](#tools-1)
  - Emgu CV - Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
  - Accord-Framework - The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications.
  - OpenCVDotNet - A wrapper for the OpenCV project to be used with .NET applications.
  - Neural Network Designer - DBMS management system and designer for neural networks. The designer application is developed using WPF, and is a user interface which allows you to design your neural network, query the network, create and configure chat bots that are capable of asking questions and learning from your feedback. The chat bots can even scrape the internet for information to return in their output as well as to use for learning.
  - Sho - Sho is an interactive environment for data analysis and scientific computing that lets you seamlessly connect scripts (in IronPython) with compiled code (in .NET) to enable fast and flexible prototyping. The environment includes powerful and efficient libraries for linear algebra as well as data visualization that can be used from any .NET language, as well as a feature-rich interactive shell for rapid development.
  - ML.NET - ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers. ML.NET was originally developed in Microsoft Research and evolved into a significant framework over the last decade and is used across many product groups in Microsoft like Windows, Bing, PowerPoint, Excel and more.
  - Infer.NET - Infer.NET is a framework for running Bayesian inference in graphical models. One can use Infer.NET to solve many different kinds of machine learning problems, from standard problems like classification, recommendation or clustering through to customized solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others.
  - Synapses - Neural network library in F#.
  - DiffSharp - An automatic differentiation (AD) library providing exact and efficient derivatives (gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products) for machine learning and optimization applications. Operations can be nested to any level, meaning that you can compute exact higher-order derivatives and differentiate functions that are internally making use of differentiation, for applications such as hyperparameter optimization.
  - GeneticSharp - Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination.
  - Emgu CV - Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
  - Accord-Framework - The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications.
  - Vulpes - Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.
  - Stanford.NLP for .NET - A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.
Python
- General-Purpose Machine Learning
  - matplotlib - A Python 2D plotting library.
  - scikit-learn - A Python module for machine learning built on top of SciPy.
  - NLTK - A leading platform for building Python programs to work with human language data.
  - astropy - A community Python library for Astronomy.
  - Seaborn - A python visualization library based on matplotlib.
  - A gallery of interesting IPython notebooks
  - Pandas - A library providing high-performance, easy-to-use data structures and data analysis tools.
  - Numba - Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy.
  - Machine Learning, Data Science and Deep Learning with Python - LiveVideo course that covers machine learning, Tensorflow, artificial intelligence, and neural networks.
  - Tensorflow-Federated
  - SimpleCV - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
  - Self-supervised learning
  - BLLIP Parser - Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser). **[Deprecated]**
  - editdistance - fast implementation of edit distance.
  - astroML - Machine Learning and Data Mining for Astronomy.
  - implicit - Fast Python Collaborative Filtering for Implicit Datasets.
  - LightFM - A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
  - imbalanced-learn - Python module to perform under sampling and oversampling with various techniques.
  - Edward - A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.
  - Cartopy - Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.
  - igraph - binding to igraph library - General purpose graph library.
  - PyDy - Short for Python Dynamics, used to assist with workflow in the modelling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
  - cerebro2 - based visualization and debugging platform for NuPIC. **[Deprecated]**
  - Python Programming for the Humanities - Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
  - Practical XGBoost in Python - comprehensive online course about using XGBoost in Python.
  - Jina AI
  - acme - An Open Source Distributed Framework for Reinforcement Learning that makes build and train your agents easily.
  - OpenVisionAPI - Open source computer vision API based on open source models.
  - deap - Evolutionary algorithm framework.
  - loso - Another Chinese segmentation library. **[Deprecated]**
  - Bayesian Methods for Hackers - Book/iPython notebooks on Probabilistic Programming in Python.
  - igel - > A delightful machine learning tool that allows you to train/fit, test and use models **without writing code**
  - zipline - A Pythonic algorithmic trading library.
  - Scikit-Image - A collection of algorithms for image processing in Python.
  - PyMC - Markov Chain Monte Carlo sampling toolkit.
  - Brainstorm - Fast, flexible and fun neural networks. This is the successor of PyBrain.
  - ggplot - Same API as ggplot2 for R. **[Deprecated]**
  - Blaze - NumPy and Pandas interface to Big Data.
  - data-science-ipython-notebooks - Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
  - Chainer - Flexible neural network framework.
  - neon - Nervana's [high-performance](https://github.com/soumith/convnet-benchmarks) Python-based Deep Learning framework [DEEP LEARNING]. **[Deprecated]**
  - keras - High-level neural networks frontend for [TensorFlow](https://github.com/tensorflow/tensorflow), [CNTK](https://github.com/Microsoft/CNTK) and [Theano](https://github.com/Theano/Theano).
  - Lasagne - Lightweight library to build and train neural networks in Theano.
  - pydeep - Deep Learning In Python. **[Deprecated]**
  - bokeh - Interactive Web Plotting for Python.
  - hebel - GPU-Accelerated Deep Learning Library in Python. **[Deprecated]**
  - jieba - Chinese Words Segmentation Utilities.
  - Pylearn2 - A Machine Learning library based on [Theano](https://github.com/Theano/Theano). **[Deprecated]**
  - SymPy - A Python library for symbolic mathematics.
  - Introduction to Machine Learning with Python - Notebooks and code for the book "Introduction to Machine Learning with Python"
  - Homemade Machine Learning - Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
  - handsonml - Fundamentals of machine learning in python.
  - Fastai - High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
  - Pydata book - Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
  - DIGITS - The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
  - Detecto - Train and run a computer vision model with 5-10 lines of code.
  - Vaex - A high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Documentation can be found [here](https://vaex.io/docs/index.html).
  - PySyft - A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
  - Gym - OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms.
  - evostra - A fast Evolution Strategy implementation in Python.
  - TPOT - Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
  - mljar-supervised - An Automated Machine Learning (AutoML) python package for tabular data. It can handle: Binary Classification, MultiClass Classification and Regression. It provides explanations and markdown reports.
  - Streamlit
  - PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
  - Rasa - A "machine learning framework to automate text-and voice-based conversations."
  - Dash - A framework for creating analytical web applications built on top of Plotly.js, React, and Flask
  - deepface - A lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for Python covering cutting-edge models such as VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, Dlib and ArcFace.
  - visualize_ML - A python package for data exploration and data analysis. **[Deprecated]**
  - scikit-plot - A visualization library for quick and easy generation of common plots in data analysis and machine learning.
  - TDB - TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow.
  - pastalog - Simple, realtime visualization of neural network training performance.
  - RLlib - RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It's used by companies like Amazon and Microsoft to solve real-world decision making problems at scale.
  - Cortex - Open source platform for deploying machine learning models in production.
  - jellyfish - a python library for doing approximate and phonetic matching of strings.
  - Gradio - A Python library for quickly creating and sharing demos of models. Debug models interactively in your browser, get feedback from collaborators, and generate public links without deploying anything.
  - einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
  - Annoy - Approximate nearest neighbours implementation.
  - pomegranate - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
  - DrQA - Reading Wikipedia to answer open-domain questions.
  - ML-From-Scratch - Implementations of Machine Learning models from scratch in Python with a focus on transparency. Aims to showcase the nuts and bolts of ML in an accessible way.
  - mlxtend - A library consisting of useful tools for data science and machine learning tasks.
  - PyOD - > Python Outlier Detection, comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. Featured for Advanced models, including Neural Networks/Deep Learning and Outlier Ensembles.
  - SKLL - A wrapper around scikit-learn that makes it simpler to conduct experiments.
  - statsmodels - Statistical modelling and econometrics in Python.
  - spaCy - Industrial strength NLP with Python and Cython.
  - pgmpy
  - PyQtGraph - A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
  - Fuzzy Wuzzy - Fuzzy String Matching in Python.
  - Open Mining - Business Intelligence (BI) in Python (Pandas web interface) **[Deprecated]**
  - AutoViz - a-new-tool-for-automated-visualization-ec9c1744a6ad?source=friends_link&sk=c9e9503ec424b191c6096d7e3f515d10">Medium article</a>.
  - Dedupe - A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
  - Turi Create - Machine learning from Apple. Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app.
  - lime - Lime is about explaining what machine learning classifiers (or models) are doing. It is able to explain any black box classifier, with two or more classes.
  - Evidently
  - TensorWatch - Debugging and visualization tool for machine learning and data science. It extensively leverages Jupyter Notebook to show real-time visualizations of data in running processes such as machine learning training.
  - prophet - Fast and automated time series forecasting framework by Facebook.
  - Haystack - A framework for building industrial-strength applications with Transformer models and LLMs.
  - garage - A toolkit for reproducible reinforcement learning research
  - PCV - Open source Python module for computer vision. **[Deprecated]**
  - Colossal-AI - source deep learning system for large-scale model training and inference with high efficiency and low cost.
  - detectron2 - FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
  - skorch - A scikit-learn compatible neural network library that wraps PyTorch.
  - Neural Networks and Deep Learning - Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
  - face_recognition - Face recognition library that recognizes and manipulates faces from Python or from the command line.
  - TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
  - MindsDB - Open Source framework to streamline use of neural networks.
  - Exadel CompreFace - face recognition system that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition and is easily deployed with docker.
  - River
  - Mars - A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
  - modAL - A modular active learning framework for Python, built on top of scikit-learn.
  - Pattern - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
  - Bowtie - A dashboard library for interactive visualizations using flask socketio and react.
  - Snips NLU - Natural Language Understanding library for intent classification and entity extraction
  - pytessarct - Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for [Google's Tesseract-OCR Engine](https://github.com/tesseract-ocr/tesseract).
  - Serpent.AI - Serpent.AI is a game agent framework that allows you to turn any video game you own into a sandbox to develop AI and machine learning experiments. For both researchers and hobbyists.
  - rgf_python - Python bindings for Regularized Greedy Forest (Tree) Library.
  - Shapash
  - pattern_classification
  - SOMPY - Self Organizing Map written in Python (Uses neural networks for data analysis).
  - Optuna
  - cleanlab - centric AI package for data quality and machine learning with messy, real-world data and labels.
  - Scikit-Survival - scikit-survival is a Python module for survival analysis built on top of scikit-learn. It allows doing survival analysis while utilizing the power of scikit-learn, e.g., for pre-processing or doing cross-validation.
  - scikit-multiflow - A machine learning framework for multi-output/multi-label and stream data.
  - lifelines - lifelines is a complete survival analysis library, written in pure Python
  - numpy-ML
  - Determined - Scalable deep learning training platform, including integrated support for distributed training, hyperparameter tuning, experiment tracking, and model management.
  - textacy - higher-level NLP built on Spacy.
  - Rosetta - Text processing tools and wrappers (e.g. Vowpal Wabbit)
  - PyNLPl - Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for [FoLiA](https://proycon.github.io/folia/), but also ARPA language models, Moses phrasetables, GIZA++ alignments.
  - BigARTM - topic modelling platform.
  - sentiment_classifier - Sentiment classifier using word sense disambiguation.
  - jProcessing - Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence Similarity between two JP Sentences. Sentiment Analysis of Japanese Text. Run Cabocha(ISO--8859-1 configured) in Python.
  - SnowNLP - A library for processing Chinese text.
  - StellarGraph - structured (network-structured) data.
  - Karate Club - > An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
  - skbayes - Python package for Bayesian Machine Learning with scikit-learn API.
  - Scikit-Opt - Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish Swarm Algorithm in Python)
  - Deepchecks
  - Catalyst - High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.
  - RexMex - > A general purpose recommender metrics library for fair evaluation.
  - ChemicalX - > A PyTorch based deep learning library for drug pair scoring
  - PyTorch Geometric Temporal - > A temporal extension of PyTorch Geometric for dynamic graph representation learning.
  - Little Ball of Fur - > A graph sampling extension library for NetworkX with a Scikit-Learn like API.
  - Lambdo - A workflow engine for solving machine learning problems by combining in one analysis pipeline (i) feature engineering and machine learning (ii) model training and prediction (iii) table population and column evaluation via user-defined (Python) functions.
  - Lightwood - A Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glued together seamlessly with objective to build predictive models with one line of code.
  - Shapley - > A data-driven framework to quantify the value of classifiers in a machine learning ensemble.
  - PyBroker - Algorithmic Trading with Machine Learning.
  - nilearn - Machine learning for NeuroImaging in Python.
  - pandas cookbook - Recipes for using Python's pandas library.
  - Polyglot - Multilingual text (NLP) processing toolkit.
  - Crab - A recommendation engine library for Python.
  - Introduction to machine learning with scikit-learn - IPython notebooks from Data School's video tutorials on scikit-learn.
  - Maze - Application-oriented deep reinforcement learning framework addressing real-world decision problems.
  - SLM Lab - Modular Deep Reinforcement Learning framework in PyTorch.
  - DI-engine - DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems.
  - Retro - Retro Games in Gym
  - Roboschool - Open-source software for robot simulation, integrated with OpenAI Gym.
  - Detectron - FAIR's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. **[Deprecated]**
  - Auto_ViML - > Automatically Build Variant Interpretable ML models fast! Auto_ViML is pronounced "auto vimal", is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in <a href="https://towardsdatascience.com/why-automl-is-an-essential-new-tool-for-data-scientists-2d9ab4e25e46?source=friends_link&sk=d03a0cc55c23deb497d546d6b9be0653">Medium article</a>.
  - Upgini - automatically searches through thousands of ready-to-use features from public and community shared data sources and enriches your training dataset with only the accuracy improving features.
  - NeuralTalk - NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences. **[Deprecated]**
  - Couler - Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
  - vispy - GPU-based high-performance interactive OpenGL 2D/3D data visualization library.
  - Keras Tuner - An easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search.
  - mlens - A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
  - Allen Downey’s Think OS Code - Text and supporting code for Think OS: A Brief Introduction to Operating Systems.
  - Neuraxle
  - lightly - Lightly is a computer vision framework for self-supervised learning.
  - dockerface - Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container. **[Deprecated]**
  - hyperopt
  - ipychart - The power of Chart.js in Jupyter Notebook.
  - pkuseg-python - A better version of Jieba, developed by Peking University.
  - imbalanced-ensemble - Python toolbox for quick implementation, modification, evaluation, and visualization of ensemble learning algorithms for class-imbalanced data. Supports out-of-the-box multi-class imbalanced (long-tailed) classification.
  - CLTK - The Classical Language Toolkit.
  - NeuroNER - Named-entity recognition using neural networks providing state-of-the-art-results
  - computer-vision-in-action - as known as ``L0CV``, is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub.
  - Quepy - A python framework to transform natural language questions to queries in a database query language.
  - Spearmint - Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012. **[Deprecated]**
  - SimpleAI
  - neuropredict - Aimed at novice machine learners and non-expert programmers, this package offers easy (no coding needed) and comprehensive machine learning (evaluation and full report of predictive performance WITHOUT requiring you to code) in Python for NeuroImaging and any other type of features. This is aimed at absorbing much of the ML workflow, unlike other packages like nilearn and pymvpa, which require you to learn their API and code to produce anything useful.
  - pyhsmm - 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.
  - neurolab
  - fuku-ml - Simple machine learning library, including Perceptron, Regression, Support Vector Machine, Decision Tree and more, it's easy to use and easy to learn for beginners.
  - stacked_generalization - Implementation of machine learning stacking technique as a handy library in Python.
  - PyCM - PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters
  - python-timbl - A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
  - Backprop - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
  - Hyperparameter-Optimization-of-Machine-Learning-Algorithms - Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
  - MiniGrad
  - ChefBoost - a lightweight decision tree framework for Python with categorical feature support covering regular decision tree algorithms such as ID3, C4.5, CART, CHAID and regression tree; also some advanved bagging and boosting techniques such as gradient boosting, random forest and adaboost.
  - Opytimizer - Python-based meta-heuristic optimization techniques.
  - YAlign - A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora. **[Deprecated]**
  - NeuralTalk - NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
  - Synthia - Multidimensional synthetic data generation in Python.
  - REP - an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience. **[Deprecated]**
  - emcee - The Python ensemble sampling toolkit for affine-invariant MCMC.
  - Deep High-Resolution-Net - A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
  - PyBrain - Another Python Machine Learning Library.
  - neural-dream - A PyTorch implementation of DeepDream.
  - Lucent - Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
  - Cogitare
  - dirty_cat - facilitates machine-learning on dirty, non-curated categories. It provides transformers and encoders robust to morphological variants, such as typos.
  - Xcessiv - A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling.
  - dream-creator - A PyTorch implementation of DeepDream. Allows individuals to quickly and easily train their own custom GoogleNet models with custom datasets for DeepDream.
  - stanford-corenlp-python - Python wrapper for [Stanford CoreNLP](https://github.com/stanfordnlp/CoreNLP) **[Deprecated]**
  - d3py - A plotting library for Python, based on [D3.js](https://d3js.org/).
  - ByteHub - An easy-to-use, Python-based feature store. Optimized for time-series data.
  - SVM Explorer - Interactive SVM Explorer, using Dash and scikit-learn
  - dtaidistance - High performance library for time series distances (DTW) and time series clustering.
  - OpenFace - Free and open source face recognition with deep neural networks.
  - Petrel - Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python.
  - genius - A Chinese segment based on Conditional Random Field.
  - ggfortify - Unified interface to ggplot2 popular R packages.
  - Learnergy - Energy-based machine learning models built upon PyTorch.
  - somoclu - organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
  - Cornac - A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
  - python-recsys - A Python library for implementing a Recommender System.
  - Crab - A flexible, fast recommender engine. **[Deprecated]**
  - milk - Machine learning toolkit focused on supervised classification. **[Deprecated]**
  - Neon Course - IPython notebooks for a complete course around understanding Nervana's Neon.
  - ipython-notebooks
  - dowel - A little logger for machine learning research. Output any object to the terminal, CSV, TensorBoard, text logs on disk, and more with just one call to `logger.log()`.
  - Parris - Parris, the automated infrastructure setup tool for machine learning algorithms.
  - PyDexter - Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
  - SparklingPandas
  - kaggle_acquire-valued-shoppers-challenge - Code for the Kaggle acquire valued shoppers challenge.
  - Featureforge - learn compatible API.
  - windML - A Python Framework for Wind Energy Analysis and Prediction.
  - Kartograph.py - Rendering beautiful SVG maps in Python.
  - NuPIC Studio - in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool! **[Deprecated]**
  - SKBEL
  - machine learning - automated build consisting of a [web-interface](https://github.com/jeff1evesque/machine-learning#web-interface), and set of [programmatic-interface](https://github.com/jeff1evesque/machine-learning#programmatic-interface) API, for support vector machines. Corresponding dataset(s) are stored into a SQL database, then generated model(s) used for prediction(s), are stored into a NoSQL datastore.
  - BentoML
  - group-lasso - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model.
  - NALP - A Natural Adversarial Language Processing framework built over Tensorflow.
  - OPFython - A Python-inspired implementation of the Optimum-Path Forest classifier.
  - python-frog - Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)
  - python-ucto - Python binding to ucto (a unicode-aware rule-based tokenizer for various languages).
  - Kaggle Dogs vs. Cats - Code for Kaggle Dogs vs. Cats competition.
  - sequitur
  - Data Driven Code - Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
  - Kaggle Galaxy Challenge - Winning solution for the Galaxy Challenge on Kaggle.
  - MiraiML - time usage.
  - nn_builder - nn_builder is a python package that lets you build neural networks in 1 line
  - bayeso - A simple, but essential Bayesian optimization package, written in Python.
  - wiki challenge - An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.
  - AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
  - PySS3 - Python package that implements a novel white-box machine learning model for text classification, called SS3. Since SS3 has the ability to visually explain its rationale, this package also comes with easy-to-use interactive visualizations tools ([online demos](http://tworld.io/ss3/)).
  - nut - Natural language Understanding Toolkit. **[Deprecated]**
  - Bolt - Bolt Online Learning Toolbox. **[Deprecated]**
  - sentiment-analyzer - Tweets Sentiment Analyzer
  - Tonic - A library that makes downloading publicly available neuromorphic datasets a breeze and provides event-based data transformation/augmentation pipelines.
  - Dive into Machine Learning with Python Jupyter notebook and scikit-learn - "I learned Python by hacking first, and getting serious *later.* I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself."
  - retinaface - deep learning based cutting-edge facial detector for Python coming with facial landmarks
  - AutoGluon - Series, and MultiModal Data.
  - Orange - Open source data visualization and data analysis for novices and experts.
  - Rockpool - A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
  - Sinabs - A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
  - altair - A Python to Vega translator.
  - spammy - A library for email Spam filtering built on top of NLTK
  - SciPy - A Python-based ecosystem of open-source software for mathematics, science, and engineering.
  - PyTorch Lightning - The lightweight PyTorch wrapper for high-performance AI research.
  - gensim - Topic Modelling for Humans.
  - Hub - Fastest unstructured dataset management for TensorFlow/PyTorch. Stream & version-control data. Store even petabyte-scale data in a single numpy-like array on the cloud accessible on any machine. Visit [activeloop.ai](https://activeloop.ai) for more info.
  - Frouros
  - DeepMind Lab - DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning.
  - Distance - Levenshtein and Hamming distance computation. **[Deprecated]**
  - DL Translate - A deep learning-based translation library between 50 languages, built with `transformers`.
  - metaworld - An open source robotics benchmark for meta- and multi-task reinforcement learning
  - steppy - > Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces a very simple interface that enables clean machine learning pipeline design.
  - ViZDoom - ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular.
  - SimpleCV - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
  - PyTorchCV - A PyTorch-Based Framework for Deep Learning in Computer Vision.
  - neural-style-pt - A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
  - IoT Owl - Light face detection and recognition system with huge possibilities, based on Microsoft Face API and TensorFlow made for small IoT devices like raspberry pi.
  - python-zpar - Python bindings for [ZPar](https://github.com/frcchang/zpar), a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
  - PyStanfordDependencies - Python interface for converting Penn Treebank trees to Stanford Dependencies.
  - yase - Transcode sentence (or other sequence) to list of word vector .
  - ML Model building - > A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
  - OpenMetricLearning - A PyTorch-based framework to train and validate the models producing high-quality embeddings.
  - topik - Topic modelling toolkit. **[Deprecated]**
  - thinking bayes - Book on Bayesian Analysis.
  - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING]
  - Restricted Boltzmann Machines - Restricted Boltzmann Machines in Python. [DEEP LEARNING]
  - CoverTree - Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree **[Deprecated]**
  - Pyevolve - Genetic algorithm framework. **[Deprecated]**
  - breze - Theano based library for deep and recurrent neural networks.
  - xRBM - A library for Restricted Boltzmann Machine (RBM) and its conditional variants in Tensorflow.
  - Sklearn-genetic-opt - in callbacks, plotting, remote logging and more.
  - Eurybia
  - DataVisualization - A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.
  - Dora - Tools for exploratory data analysis in Python.
  - Ruffus - Computation Pipeline library for python.
  - HDBScan - implementation of the hdbscan algorithm in Python - used for clustering
  - Map/Reduce implementations of common ML algorithms - means, alternating least squares), using Python NumPy, and how to then make these implementations scalable using Map/Reduce and Spark.
  - BioPy - Biologically-Inspired and Machine Learning Algorithms in Python. **[Deprecated]**
  - CAEs for Data Assimilation - Convolutional autoencoders for 3D image/field compression applied to reduced order [Data Assimilation](https://en.wikipedia.org/wiki/Data_assimilation).
  - thinking stats 2
  - 2012-paper-diginorm
  - decision-weights
  - Sarah Palin LDA - Topic Modelling the Sarah Palin emails.
  - Diffusion Segmentation - A collection of image segmentation algorithms based on diffusion methods.
  - Scipy Tutorials - SciPy tutorials. This is outdated, check out scipy-lecture-notes.
  - BayesPy - Bayesian Inference Tools in Python.
  - scikit-learn tutorials - Series of notebooks for learning scikit-learn.
  - mne-python-notebooks - IPython notebooks for EEG/MEG data processing using mne-python.
  - climin - Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
  - Allen Downey’s Data Science Course - Code for Data Science at Olin College, Spring 2014.
  - Allen Downey’s Think Complexity Code - Code for Allen Downey's book Think Complexity.
  - Prodmodel - Build tool for data science pipelines.
  - the-elements-of-statistical-learning - This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.
  - Heart_Disease-Prediction - Given clinical parameters about a patient, can we predict whether or not they have heart disease?
  - Flight Fare Prediction - This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
  - Neuron - Neuron is simple class for time series predictions. It's utilize LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neural networks learned with Gradient descent or LeLevenberg–Marquardt algorithm.
  - open-solution-home-credit - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Home-Credit-Default-Risk) for [Home Credit Default Risk](https://www.kaggle.com/c/home-credit-default-risk).
  - open-solution-googleai-object-detection - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Google-AI-Object-Detection-Challenge) for [Google AI Open Images - Object Detection Track](https://www.kaggle.com/c/google-ai-open-images-object-detection-track).
  - open-solution-salt-identification - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Salt-Detection) for [TGS Salt Identification Challenge](https://www.kaggle.com/c/tgs-salt-identification-challenge).
  - open-solution-ship-detection - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Ships) for [Airbus Ship Detection Challenge](https://www.kaggle.com/c/airbus-ship-detection).
  - open-solution-data-science-bowl-2018 - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Data-Science-Bowl-2018) for [2018 Data Science Bowl](https://www.kaggle.com/c/data-science-bowl-2018).
  - open-solution-value-prediction - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Santander-Value-Prediction-Challenge) for [Santander Value Prediction Challenge](https://www.kaggle.com/c/santander-value-prediction-challenge).
  - kaggle insults - Kaggle Submission for "Detecting Insults in Social Commentary".
  - kaggle-cifar - Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet.
  - kaggle-blackbox - Deep learning made easy.
  - kaggle-accelerometer - Code for Accelerometer Biometric Competition at Kaggle.
  - kaggle-advertised-salaries - Predicting job salaries from ads - a Kaggle competition.
  - kaggle amazon - Amazon access control challenge.
  - kaggle-bestbuy_big - Code for the Best Buy competition at Kaggle.
  - kaggle-bestbuy_small
  - Kaggle Gender - A Kaggle competition: discriminate gender based on handwriting.
  - Kaggle Merck - Merck challenge at Kaggle.
  - Kaggle Stackoverflow - Predicting closed questions on Stack Overflow.
  - wine-quality - Predicting wine quality.
  - NannyML - deployment model performance without access to targets.
  - editdistance - fast implementation of edit distance.
  - BLLIP Parser - Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser). **[Deprecated]**
  - graphlab-create - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.
  - Coach - Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
  - TextBlob - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.
  - pygal - A Python SVG Charts Creator.
  - Pebl - Python Environment for Bayesian Learning. **[Deprecated]**
  - albumentations - А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops.
  - Microsoft Recommenders
  - Superset - A data exploration platform designed to be visual, intuitive, and interactive.
  - steppy-toolkit - > Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.
  - Theano - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python.
  - TensorFlow - Open source software library for numerical computation using data flow graphs.
  - pycascading
  - NuPIC - Numenta Platform for Intelligent Computing.
  - bqplot - An API for plotting in Jupyter (IPython).
  - JAX - JAX is Autograd and XLA, brought together for high-performance machine learning research.
  - FEDOT - modal datasets).
  - Suiron - Machine Learning for RC Cars.
  - imutils - A library containing Convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
  - DeepPavlov - conversational AI library with many pre-trained Russian NLP models.
  - PyTorch Lightning Bolts - Toolbox of models, callbacks, and datasets for AI/ML researchers.
  - PyGrid - Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft
  - TResNet: High Performance GPU-Dedicated Architecture - TResNet models were designed and optimized to give the best speed-accuracy tradeoff out there on GPUs.
  - open-solution-home-credit - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Home-Credit-Default-Risk) for [Home Credit Default Risk](https://www.kaggle.com/c/home-credit-default-risk).
  - open-solution-googleai-object-detection - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Google-AI-Object-Detection-Challenge) for [Google AI Open Images - Object Detection Track](https://www.kaggle.com/c/google-ai-open-images-object-detection-track).
  - open-solution-ship-detection - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Ships) for [Airbus Ship Detection Challenge](https://www.kaggle.com/c/airbus-ship-detection).
  - open-solution-data-science-bowl-2018 - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Data-Science-Bowl-2018) for [2018 Data Science Bowl](https://www.kaggle.com/c/data-science-bowl-2018).
  - open-solution-value-prediction - > source code and [experiments results](https://app.neptune.ml/neptune-ml/Santander-Value-Prediction-Challenge) for [Santander Value Prediction Challenge](https://www.kaggle.com/c/santander-value-prediction-challenge).
  - open-solution-toxic-comments - > source code for [Toxic Comment Classification Challenge](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge).
  - timm - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more.
  - sktime - A unified framework for machine learning with time series
  - Microsoft ML for Apache Spark - > A distributed machine learning framework Apache Spark
  - Intel(R) Extension for Scikit-learn - A seamless way to speed up your Scikit-learn applications with no accuracy loss and code changes.
C++
- [Tools](#tools-1)
  - PyCUDA - Python interface to CUDA
  - sofia-ml - Suite of fast incremental algorithms.
  - QuestDB - oriented database designed for real-time analytics on time series and event data.
  - DLib - DLib has C++ and Python interfaces for face detection and training general object detectors.
  - Distributed Machine learning Tool Kit (DMTK) - A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding.
  - DLib - A suite of ML tools designed to be easy to imbed in other applications.
  - mlpack - A scalable C++ machine learning library.
  - shark - A fast, modular, feature-rich open-source C++ machine learning library.
  - CRFsuite - CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. **[Deprecated]**
  - Speedster - Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware. [DEEP LEARNING]
  - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.
  - Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]
  - xLearn - A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online advertising and recommender systems.
  - Warp-CTC - A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.
  - MeTA - [MeTA : ModErn Text Analysis](https://meta-toolkit.org/) is a C++ Data Sciences Toolkit that facilitates mining big text data.
  - Fido - A highly-modular C++ machine learning library for embedded electronics and robotics.
  - VIGRA - VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.
  - Openpose - A real-time multi-person keypoint detection library for body, face, hands, and foot estimation
  - Kaldi - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
  - Shogun - The Shogun Machine Learning Toolbox.
  - MIT Information Extraction Toolkit - C, C++, and Python tools for named entity recognition and relation extraction
  - DyNet - A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python.
  - Vowpal Wabbit (VW) - A fast out-of-core learning system.
  - XGBoost - A parallelized optimized general purpose gradient boosting library.
  - PyCaret - An open-source, low-code machine learning library in Python that automates machine learning workflows.
  - DeepDetect - A machine learning API and server written in C++11. It makes state of the art machine learning easy to work with and integrate into existing applications.
  - Polyaxon - A platform for reproducible and scalable machine learning and deep learning.
  - CRF++ - Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks. **[Deprecated]**
  - BLLIP Parser - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser).
  - colibri-core - C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
  - ucto - Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.
  - libfolia - C++ library for the [FoLiA format](https://proycon.github.io/folia/)
  - frog - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
  - Hopsworks - A data-intensive platform for AI with the industry's first open-source feature store. The Hopsworks Feature Store provides both a feature warehouse for training and batch based on Apache Hive and a feature serving database, based on MySQL Cluster, for online applications.
  - BanditLib - A simple Multi-armed Bandit library. **[Deprecated]**
  - CNTK - The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.
  - ThunderSVM - A fast SVM library on GPUs and CPUs.
  - ThunderGBM - A fast library for GBDTs and Random Forests on GPUs.
  - N2D2 - CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms
  - LightGBM - Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
  - Timbl - A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP.
  - libfm - A generic approach that allows to mimic most factorization models by feature engineering.
  - ParaMonte - A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found [here](https://www.cdslab.org/paramonte/).
  - oneDNN - An open-source cross-platform performance library for deep learning applications.
  - OpenCV - OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
  - MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
  - proNet-core - A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
  - LKYDeepNN - A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
  - CRFsuite - CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. **[Deprecated]**
  - ToPS - This is an object-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet. **[Deprecated]**
  - grt - The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
  - CUDA - This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING]
  - EBLearn - Eblearn is an object-oriented C++ library that implements various machine learning models **[Deprecated]**
  - Featuretools - A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives".
  - Intel® oneAPI Data Analytics Library - A high performance software library developed by Intel and optimized for Intel's architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online and distributed modes.
  - DLib - A suite of ML tools designed to be easy to imbed in other applications.
  - skynet - A library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#.
  - DSSTNE - A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility.
Clojure
- [Tools](#tools-1)
  - MXNet - Bindings to Apache MXNet - part of the MXNet project
  - Incanter - Incanter is a Clojure-based, R-like platform for statistical computing and graphics.
  - Java Interop - Clojure has Native Java Interop from which Java's ML ecosystem can be accessed
  - JavaScript Interop - ClojureScript has Native JavaScript Interop from which JavaScript's ML ecosystem can be accessed
  - Neanderthal - Fast Clojure Matrix Library (native CPU, GPU, OpenCL, CUDA)
  - Scicloj - Curated list of ML related resources for Clojure.
  - Geni - a Clojure dataframe library that runs on Apache Spark
  - PigPen - Map-Reduce for Clojure.
  - clojupyter - A Jupyter kernel for Clojure - run Clojure code in Jupyter Lab, Notebook and Console.
  - Clojure-openNLP - Natural Language Processing in Clojure (opennlp).
  - Infections-clj - Rails-like inflection library for Clojure and ClojureScript.
  - Saite - Clojure(Script) client/server application for dynamic interactive explorations and the creation of live shareable documents capturing them using Vega/Vega-Lite, CodeMirror, markdown, and LaTeX
  - Oz - Data visualisation using Vega/Vega-Lite and Hiccup, and a live-reload platform for literate-programming
  - tech.ml.dataset - Clojure dataframe library and pipeline for data processing and machine learning
  - Tablecloth - A dataframe grammar wrapping tech.ml.dataset, inspired by several R libraries
  - Clojush - The Push programming language and the PushGP genetic programming system implemented in Clojure.
  - Hanami - Lite (VGL) and/or Vega (VG) specifications. Automatic framing and layouts along with a powerful templating system for abstracting visualization specs
  - Delight - A listener that streams your spark events logs to delight, a free and improved spark UI
  - Deep Diamond - A fast Clojure Tensor & Deep Learning library
  - Libpython-clj - Interop with Python
  - jutsu.ai - Clojure wrapper for deeplearning4j with some added syntactic sugar.
  - Flare - Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)
  - Infer - Inference and machine learning in Clojure. **[Deprecated]**
  - notespace - Notebook experience in your Clojure namespace
  - scicloj.ml - A idiomatic Clojure machine learning library based on tech.ml.dataset with a unique approach for immutable data processing pipelines.
  - ClojisR - Interop with R and Renjin (R on the JVM)
  - lambda-ml - Simple, concise implementations of machine learning techniques and utilities in Clojure.
  - dl4clj - Clojure wrapper for Deeplearning4j.
  - Panthera - Clojure API wrapping Python's Pandas library
  - clj-boost - Wrapper for XGBoost
  - matlib - a Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
  - Encog - Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets). **[Deprecated]**
  - fastmath - A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries
  - Fungp - A genetic programming library for Clojure. **[Deprecated]**
  - comportex - Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm. **[Deprecated]**
  - Statistiker - Basic Machine Learning algorithms in Clojure. **[Deprecated]**
  - clortex - General Machine Learning library using Numenta’s Cortical Learning Algorithm. **[Deprecated]**
  - Incanter - Incanter is a Clojure-based, R-like platform for statistical computing and graphics.
  - Envision - Clojure Data Visualisation library, based on Statistiker and D3.
  - kixistats - A library of statistical distribution sampling and transducing functions
  - Touchstone - Clojure A/B testing library.
  - clj-ml - A machine learning library for Clojure built on top of Weka and friends.
  - Pink Gorilla Notebook - A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL
  - cortex - Neural networks, regression and feature learning in Clojure.
Lua
- [Tools](#tools-1)
  - Torch7
  - Numeric Lua
  - Lunatic Python
  - Lua - Numerical Algorithms
  - Numeric Lua
  - Numeric Lua
  - autograd - Autograd automatically differentiates native Torch code. Inspired by the original Python version.
  - rnn - A Recurrent Neural Network library that extends Torch's nn. RNNs, LSTMs, GRUs, BRNNs, BLSTMs, etc.
  - dp - A deep learning library designed for streamlining research and development using the Torch7 distribution. It emphasizes flexibility through the elegant use of object-oriented design patterns. **[Deprecated]**
  - cutorch - Torch CUDA Implementation.
  - cunn - Torch CUDA Neural Network Implementation.
  - nn - Neural Network package for Torch.
  - dpnn - Many useful features that aren't part of the main nn package.
  - Keras GPT Copilot - A python package that integrates an LLM copilot inside the keras model development workflow.
  - signal - A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft.
  - Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo)
  - torch-datasets - Scripts to load several popular datasets including:
  - graph - Graph package for Torch. **[Deprecated]**
  - optim - An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
  - nngraph - This package provides graphical computation for nn library in Torch7.
  - OverFeat - A state-of-the-art generic dense feature extractor. **[Deprecated]**
  - nnx - A completely unstable and experimental package that extends Torch's builtin nn library.
  - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]**
  - manifold - A package to manipulate manifolds.
  - svm - Torch-SVM library. **[Deprecated]**
  - lbfgs - FFI Wrapper for liblbfgs. **[Deprecated]**
  - vowpalwabbit - An old vowpalwabbit interface to torch. **[Deprecated]**
  - OpenGM - OpenGM is a C++ library for graphical modelling, and inference. The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM. **[Deprecated]**
  - spaghetti - Spaghetti (sparse linear) module for torch7 by @MichaelMathieu **[Deprecated]**
  - LuaSHKit - A Lua wrapper around the Locality sensitive hashing library SHKit **[Deprecated]**
  - kernel smoothing - KNN, kernel-weighted average, local linear regression smoothers. **[Deprecated]**
  - imgraph - An image/graph library for Torch. This package provides routines to construct graphs on images, segment them, build trees out of them, and convert them back to images. **[Deprecated]**
  - videograph - A video/graph library for Torch. This package provides routines to construct graphs on videos, segment them, build trees out of them, and convert them back to videos. **[Deprecated]**
  - saliency - code and tools around integral images. A library for finding interest points based on fast integral histograms. **[Deprecated]**
  - stitch - allows us to use hugin to stitch images and apply same stitching to a video sequence. **[Deprecated]**
  - sfm - A bundle adjustment/structure from motion package. **[Deprecated]**
  - fex - A package for feature extraction in Torch. Provides SIFT and dSIFT modules. **[Deprecated]**
  - Numeric Lua
  - Lunum
  - Core torch7 demos repository
  - Atari2600 - Scripts to generate a dataset with static frames from the Arcade Learning Environment.
  - torchnet - framework for torch which provides a set of abstractions aiming at encouraging code re-use as well as encouraging modular programming.
  - wav2letter - a simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research.
  - cephes - Cephes mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the Cephes mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy. **[Deprecated]**
  - randomkit - Numpy's randomkit, wrapped for Torch. **[Deprecated]**
  - autograd - Autograd automatically differentiates native Torch code. Inspired by the original Python version.
R
- General-Purpose Machine Learning
  - L0Learn - L0Learn: Fast algorithms for best subset selection.
  - XGBoost.R - R binding for eXtreme Gradient Boosting (Tree) Library.
  - igraph - binding to igraph library - General purpose graph library.
  - ggplot2 - A data visualization package based on the grammar of graphics.
  - tgp - tgp: Bayesian treed Gaussian process models. **[Deprecated]**
  - Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly to R.
  - ahaz - ahaz: Regularization for semiparametric additive hazards regression. **[Deprecated]**
  - arules - arules: Mining Association Rules and Frequent Itemsets
  - biglasso - biglasso: Extending Lasso Model Fitting to Big Data in R.
  - bmrm - bmrm: Bundle Methods for Regularized Risk Minimization Package.
  - Boruta - Boruta: A wrapper algorithm for all-relevant feature selection.
  - bst - bst: Gradient Boosting.
  - C50 - C50: C5.0 Decision Trees and Rule-Based Models.
  - caret - Classification and Regression Training: Unified interface to ~150 ML algorithms in R.
  - caretEnsemble - caretEnsemble: Framework for fitting multiple caret models as well as creating ensembles of such models. **[Deprecated]**
  - Clever Algorithms For Machine Learning
  - CORElearn - CORElearn: Classification, regression, feature evaluation and ordinal evaluation.
  - CoxBoost - CoxBoost: Cox models by likelihood based boosting for a single survival endpoint or competing risks **[Deprecated]**
  - Cubist - Cubist: Rule- and Instance-Based Regression Modelling.
  - e1071 - e1071: Misc Functions of the Department of Statistics (e1071), TU Wien
  - earth - earth: Multivariate Adaptive Regression Spline Models
  - elasticnet - elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA.
  - ElemStatLearn - ElemStatLearn: Data sets, functions and examples from the book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman.
  - evtree - evtree: Evolutionary Learning of Globally Optimal Trees.
  - forecast - forecast: Timeseries forecasting using ARIMA, ETS, STLM, TBATS, and neural network models.
  - forecastHybrid - forecastHybrid: Automatic ensemble and cross validation of ARIMA, ETS, STLM, TBATS, and neural network models from the "forecast" package.
  - fpc - fpc: Flexible procedures for clustering.
  - frbs - frbs: Fuzzy Rule-based Systems for Classification and Regression Tasks. **[Deprecated]**
  - GAMBoost - GAMBoost: Generalized linear and additive models by likelihood based boosting. **[Deprecated]**
  - gamboostLSS - gamboostLSS: Boosting Methods for GAMLSS.
  - gbm - gbm: Generalized Boosted Regression Models.
  - glmnet - glmnet: Lasso and elastic-net regularized generalized linear models.
  - glmpath - glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model.
  - GMMBoost - GMMBoost: Likelihood-based Boosting for Generalized mixed models. **[Deprecated]**
  - grplasso - grplasso: Fitting user specified models with Group Lasso penalty.
  - grpreg - grpreg: Regularization paths for regression models with grouped covariates.
  - h2o - A framework for fast, parallel, and distributed machine learning algorithms at scale -- Deeplearning, Random forests, GBM, KMeans, PCA, GLM.
  - hda - hda: Heteroscedastic Discriminant Analysis. **[Deprecated]**
  - Introduction to Statistical Learning
  - ipred - ipred: Improved Predictors.
  - kernlab - kernlab: Kernel-based Machine Learning Lab.
  - klaR - klaR: Classification and visualization.
  - lars - lars: Least Angle Regression, Lasso and Forward Stagewise. **[Deprecated]**
  - lasso2 - lasso2: L1 constrained estimation aka ‘lasso’.
  - LiblineaR - LiblineaR: Linear Predictive Models Based On The Liblinear C/C++ Library.
  - LogicReg - LogicReg: Logic Regression.
  - maptree - maptree: Mapping, pruning, and graphing tree models. **[Deprecated]**
  - mboost - mboost: Model-Based Boosting.
  - mlr - mlr: Machine Learning in R.
  - ncvreg - ncvreg: Regularization paths for SCAD- and MCP-penalized regression models.
  - nnet - nnet: Feed-forward Neural Networks and Multinomial Log-Linear Models. **[Deprecated]**
  - pamr - pamr: Pam: prediction analysis for microarrays. **[Deprecated]**
  - party - party: A Laboratory for Recursive Partitioning
  - partykit - partykit: A Toolkit for Recursive Partitioning.
  - penalized - penalized: L1 (lasso and fused lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox model.
  - penalizedLDA - penalizedLDA: Penalized classification using Fisher's linear discriminant. **[Deprecated]**
  - penalizedSVM - penalizedSVM: Feature Selection SVM using penalty functions.
  - quantregForest - quantregForest: Quantile Regression Forests.
  - randomForest - randomForest: Breiman and Cutler's random forests for classification and regression.
  - randomForestSRC - randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC).
  - rattle - rattle: Graphical user interface for data mining in R.
  - rda - rda: Shrunken Centroids Regularized Discriminant Analysis.
  - rdetools - rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces. **[Deprecated]**
  - REEMtree - REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data. **[Deprecated]**
  - relaxo - relaxo: Relaxed Lasso. **[Deprecated]**
  - rgenoud - rgenoud: R version of GENetic Optimization Using Derivatives
  - Rmalschains - Rmalschains: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R.
  - rminer - rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression. **[Deprecated]**
  - ROCR - ROCR: Visualizing the performance of scoring classifiers. **[Deprecated]**
  - RoughSets - RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories. **[Deprecated]**
  - rpart - rpart: Recursive Partitioning and Regression Trees.
  - RPMM - RPMM: Recursively Partitioned Mixture Model.
  - RSNNS - RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS).
  - RWeka - RWeka: R/Weka interface.
  - RXshrink - RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression.
  - sda - sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection. **[Deprecated]**
  - spectralGraphTopology - spectralGraphTopology: Learning Graphs from Data via Spectral Constraints.
  - svmpath - svmpath: svmpath: the SVM Path algorithm. **[Deprecated]**
  - tree - tree: Classification and regression trees.
  - varSelRF - varSelRF: Variable selection using random forests.
  - dplyr - A data manipulation package that helps to solve the most common data manipulation problems.
  - tmap
  - tm
  - Machine Learning For Hackers
  - SuperLearner - Multi-algorithm ensemble learning packages.
  - TDSP-Utilities - Two data science utilities in R from Microsoft: 1) Interactive Data Exploration, Analysis, and Reporting (IDEAR) ; 2) Automated Modelling and Reporting (AMR).
  - tm
  - shiny
Java
- [Tools](#tools-1)
  - Storm - Storm is a distributed realtime computation system.
  - CoreNLP - Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words.
  - OpenNLP - a machine learning based toolkit for the processing of natural language text.
  - Cortical.io - Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain.
  - IRIS - [Cortical.io's](https://cortical.io) FREE NLP, Retina API Analysis Tool (written in JavaFX!) - [See the Tutorial Video](https://www.youtube.com/watch?v=CsF4pd7fGF0).
  - Stanford Parser - A natural language parser is a program that works out the grammatical structure of sentences.
  - Stanford POS Tagger - A Part-Of-Speech Tagger (POS Tagger).
  - Stanford Name Entity Recognizer - Stanford NER is a Java implementation of a Named Entity Recognizer.
  - Stanford Word Segmenter - Tokenization of raw text is a standard pre-processing step for many NLP tasks.
  - Tregex, Tsurgeon and Semgrex - Tregex is a utility for matching patterns in trees, based on tree relationships and regular expression matches on nodes (the name is short for "tree regular expressions").
  - Stanford Phrasal: A Phrase-Based Translation System
  - Stanford English Tokenizer - Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java.
  - Stanford Tokens Regex - A tokenizer divides text into a sequence of tokens, which roughly correspond to "words".
  - Stanford Temporal Tagger - SUTime is a library for recognizing and normalizing time expressions.
  - Stanford SPIED - Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion.
  - Twitter Text Java - A Java implementation of Twitter's text processing library.
  - Apache cTAKES - Apache Clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text.
  - AMIDST Toolbox - A Java Toolbox for Scalable Probabilistic Machine Learning.
  - ELKI - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
  - RankLib - RankLib is a library of learning to rank algorithms. **[Deprecated]**
  - Stanford Classifier - A classifier is a machine learning tool that will take data items and place them into one of k classes.
  - Keras Beginner Tutorial - Friendly guide on using Keras to implement a simple Neural Network in Python.
  - ORYX - Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
  - Spark - Spark is a fast and general engine for large-scale data processing.
  - Deeplearning4j - Scalable deep learning for industry with parallel GPUs.
  - H2O - ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
  - Hadoop - Hadoop/HDFS.
  - aerosolve - A machine learning library by Airbnb designed from the ground up to be human friendly.
  - deepjavalibrary/djl - Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning, designed to be easy to get started with and simple to use for Java developers.
  - Onyx - Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
  - CogcompNLP - This project collects a number of core libraries for Natural Language Processing (NLP) developed in the University of Illinois' Cognitive Computation Group, for example `illinois-core-utilities` which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc, `illinois-edison` a library for feature extraction from illinois-core-utilities data structures and many other packages.
  - Hydrosphere Mist - a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
  - Mahout - Distributed machine learning.
  - htm.java - General Machine Learning library using Numenta’s Cortical Learning Algorithm.
  - Datumbox - Machine Learning framework for rapid development of Machine Learning and Statistical applications.
  - liblinear-java - Java version of liblinear.
  - Impala - Real-time Query for Hadoop.
  - LingPipe - A tool kit for processing text using computational linguistics.
  - ClearTK - ClearTK provides a framework for developing statistical natural language processing (NLP) components in Java and is built on top of Apache UIMA. **[Deprecated]**
  - NLP4J - The NLP4J project provides software and resources for natural language processing. The project started at the Center for Computational Language and EducAtion Research, and is currently developed by the Center for Language and Information Research at Emory University. **[Deprecated]**
  - AMIDST Toolbox - A Java Toolbox for Scalable Probabilistic Machine Learning.
  - Chips-n-Salsa - A Java library for genetic algorithms, evolutionary computation, and stochastic local search, with a focus on self-adaptation / self-tuning, as well as parallel execution.
  - rapaio - statistics, data mining and machine learning toolbox in Java.
  - LBJava - Learning Based Java is a modelling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer's application.
  - knn-java-library - Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
  - Meka - An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
  - Neuroph - Neuroph is lightweight Java neural network framework.
  - SystemML - flexible, scalable machine learning (ML) language.
Books
- General-Purpose Machine Learning
  - Model Zoo - Discover open source deep learning code and pretrained models.
  - Teachable Machine - Train Machine Learning models on the fly to recognize your own images, sounds, & poses.
  - Machine Learning Bookcamp - Learn the essentials of machine learning by completing a carefully designed set of real-world projects.
  - Grokking Machine Learning - Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math.
  - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.
  - Netron - An opensource viewer for neural network, deep learning and machine learning models
  - Distributed Machine Learning Patterns - This book teaches you how to take machine learning models from your personal laptop to large distributed clusters. You’ll explore key concepts and patterns behind successful distributed machine learning systems, and learn technologies like TensorFlow, Kubernetes, Kubeflow, and Argo Workflows directly from a key maintainer and contributor, with real-world scenarios and hands-on projects.
Scala
- General-Purpose Machine Learning
  - Flink - Open source platform for distributed stream and batch data processing.
  - FlinkML in Apache Flink - Distributed machine learning library in Flink.
  - MLlib in Apache Spark - Distributed machine learning library in Spark
  - Smile - Statistical Machine Intelligence and Learning Engine.
  - ScalaNLP - ScalaNLP is a suite of machine learning and numerical computing libraries.
  - DeepLearning.scala - Creating statically typed dynamic neural networks from object-oriented & functional programming constructs.
  - Scalding - A Scala API for Cascading.
  - PredictionIO - PredictionIO, a machine learning server for software developers and data engineers.
  - Summing Bird - Streaming MapReduce with Scalding and Storm.
  - Saul - Flexible Declarative Learning-Based Programming.
  - Algebird - Abstract Algebra for Scala.
  - Spark NLP - Natural language processing library built on top of Apache Spark ML to provide simple, performant, and accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.
  - H2O Sparkling Water - H2O and Spark interoperability.
  - BIDMach - CPU and GPU-accelerated Machine Learning Library.
  - bioscala - Bioinformatics for the Scala programming language
  - adam - A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
  - Breeze - Breeze is a numerical processing library for Scala.
  - doddle-model - An in-memory machine learning library built on top of Breeze. It provides immutable objects and exposes its functionality through a scikit-learn-like API.
  - NDScala - N-dimensional arrays in Scala 3. Think NumPy ndarray, but with compile-time type-checking/inference over shapes, tensor/axis labels & numeric data types
  - ONNX-Scala - An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
  - TensorFlow Scala - Strongly-typed Scala API for TensorFlow.
  - ganitha - Scalding powered machine learning. **[Deprecated]**
  - xerial - Data management utilities for Scala. **[Deprecated]**
  - ScalaNLP - ScalaNLP is a suite of machine learning and numerical computing libraries.
  - Chalk - Chalk is a natural language processing library. **[Deprecated]**
  - FACTORIE - FACTORIE is a toolkit for deployable probabilistic modelling, 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.
  - Montague - Montague is a semantic parsing library for Scala with an easy-to-use DSL.
  - BIDMat - CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
  - Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.
  - Conjecture - Scalable Machine Learning in Scalding.
  - brushfire - Distributed decision tree ensemble learning in Scala.
  - Figaro - a Scala library for constructing probabilistic models.
Matlab
- [Tools](#tools-1)
  - LibSVM - A Library for Support Vector Machines.
  - Contourlets - MATLAB source code that implements the contourlet transform and its utility functions.
  - Curvelets - The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.
  - Bandlets - MATLAB code for bandlet transform.
  - Convolutional-Recursive Deep Learning for 3D Object Classification - Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING].
  - Spider - The spider is intended to be a complete object orientated environment for machine learning in Matlab.
  - LibLinear - A Library for Large Linear Classification.
  - matlab_bgl - MatlabBGL is a Matlab package for working with graphs.
  - Pattern Recognition and Machine Learning - This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
  - Machine Learning Module - Class on machine w/ PDF, lectures, code
  - Machine Learning in MatLab/Octave - examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained.
  - Pattern Recognition Toolbox - A complete object-oriented environment for machine learning in Matlab.
  - mexopencv - Collection and a development kit of MATLAB mex functions for OpenCV library.
  - gaimc - Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.
  - Curvelets - The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.
  - MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
Tools
- General-Purpose Machine Learning
  - MLFlow - platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. Framework and language agnostic, take a look at all the built-in integrations.
  - Pinecone - Vector database for applications that require real-time, scalable vector embedding and similarity search.
  - guild.ai - Tool to log, analyze, compare and "optimize" experiments. It's cross-platform and framework independent, and provided integrated visualizers such as tensorboard.
  - MachineLearningWithTensorFlow2ed - a book on general purpose machine learning techniques regression, classification, unsupervised clustering, reinforcement learning, auto encoders, convolutional neural networks, RNNs, LSTMs, using TensorFlow 1.14.1.
  - Pythonizr - An online tool to generate boilerplate machine learning code that uses scikit-learn.
  - Flyte - Flyte makes it easy to create concurrent, scalable, and maintainable workflows for machine learning and data processing.
  - Weaviate - technologies/weaviate) vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale.
  - MLReef - MLReef is an end-to-end development platform using the power of git to give structure and deep collaboration possibilities to the ML development process.
  - txtai - Build semantic search applications and workflows.
  - CML - A library for doing continuous integration with ML projects. Use GitHub Actions & GitLab CI to train and evaluate models in production like environments and automatically generate visual reports with metrics and graphs in pull/merge requests. Framework & language agnostic.
  - m2cgen - A tool that allows the conversion of ML models into native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart) with zero dependencies.
  - ML Workspace - All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
  - DockerDL - Ready to use deeplearning docker images.
  - MLEM - Version and deploy your ML models following GitOps principles
  - Sacred - Python tool to help you configure, organize, log and reproduce experiments. Like a notebook lab in the context of Chemistry/Biology. The community has built multiple add-ons leveraging the proposed standard.
  - Ambrosia - Ambrosia helps you clean up your LLM datasets using _other_ LLMs.
  - DVClive - Python library for experiment metrics logging into simply formatted local files.
  - Kedro - Kedro is a data and development workflow framework that implements best practices for data pipelines with an eye towards productionizing machine learning models.
  - Notebooks - A starter kit for Jupyter notebooks and machine learning. Companion docker images consist of all combinations of python versions, machine learning frameworks (Keras, PyTorch and Tensorflow) and CPU/CUDA versions.
  - Pythonizr - An online tool to generate boilerplate machine learning code that uses scikit-learn.
  - milvus - io/milvus) vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
  - VDP - open source visual data ETL to streamline the end-to-end visual data processing pipeline: extract unstructured visual data from pre-built data sources, transform it into analysable structured insights by Vision AI models imported from various ML platforms, and load the insights into warehouses or applications.
  - DVC - Data Science Version Control is an open-source version control system for machine learning projects with pipelines support. It makes ML projects reproducible and shareable.
  - Chaos Genius - ML powered analytics engine for outlier/anomaly detection and root cause analysis.
  - Qdrant
Julia
- [Tools](#tools-1)
  - Flux - Relax! Flux is the ML library that doesn't make you tensor
  - Data Frames Meta - Metaprogramming tools for DataFrames.
  - Clustering - Basic functions for clustering data: k-means, dp-means, etc.
  - SVM - SVM for Julia. **[Deprecated]**
  - ScikitLearn - Julia implementation of the scikit-learn API.
  - Mocha - Deep Learning framework for Julia inspired by Caffe. **[Deprecated]**
  - Gadfly - Crafty statistical graphics for Julia.
  - DataFrames - library for working with tabular data in Julia.
  - GLM - Generalized linear models in Julia.
  - Topic Models - TopicModels for Julia. **[Deprecated]**
  - Time Series - Time series toolkit for Julia.
  - DSP - Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
  - Local Regression - Local regression, so smooooth!
  - Kernel Density - Kernel density estimators for Julia.
  - Gaussian Processes - Julia package for Gaussian processes.
  - Knet - Koç University Deep Learning Framework.
  - Distributions - A Julia package for probability distributions and associated functions.
  - Merlin - Flexible Deep Learning Framework in Julia.
  - Text Analysis - Julia package for text analysis.
  - MachineLearning - Julia Machine Learning library. **[Deprecated]**
  - MLBase - A set of functions to support the development of machine learning algorithms.
  - PGM - A Julia framework for probabilistic graphical models.
  - DA - Julia package for Regularized Discriminant Analysis.
  - Regression - Algorithms for regression analysis (e.g. linear regression and logistic regression). **[Deprecated]**
  - Naive Bayes - Simple Naive Bayes implementation in Julia. **[Deprecated]**
  - Simple MCMC - basic MCMC sampler implemented in Julia. **[Deprecated]**
  - Decision Tree - Decision Tree Classifier and Regressor.
  - Neural - A neural network in Julia.
  - MCMC - MCMC tools for Julia. **[Deprecated]**
  - Mamba - Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
  - Online Learning
  - NMF - A Julia package for non-negative matrix factorization.
  - ANN - Julia artificial neural networks. **[Deprecated]**
  - XGBoost - eXtreme Gradient Boosting Package in Julia.
  - ManifoldLearning - A Julia package for manifold learning and nonlinear dimensionality reduction.
  - ROCAnalysis - Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers.
  - GaussianMixtures - Large scale Gaussian Mixture Models.
  - Graph Layout - Graph layout algorithms in pure Julia.
  - Julia Data - library for working with tabular data in Julia. **[Deprecated]**
  - Data Read - Read files from Stata, SAS, and SPSS.
  - Hypothesis Tests - Hypothesis tests for Julia.
  - Stats - Statistical tests for Julia.
  - Data Arrays - Data structures that allow missing values. **[Deprecated]**
  - Sampling - Basic sampling algorithms for Julia.
  - JuliaCon Presentations - Presentations for JuliaCon.
  - Images - An image library for Julia.
  - MLJ - A Julia machine learning framework.
  - LightGraphs - Graph modelling and analysis.
  - RDataSets - Julia package for loading many of the data sets available in R.
  - Distances - Julia module for Distance evaluation.
  - MultivariateStats - Methods for dimensionality reduction.
  - Word Tokenizers - Tokenizers for Natural Language Processing in Julia
  - Corpus Loaders - A Julia package providing a variety of loaders for various NLP corpora.
  - Embeddings - Functions and data dependencies for loading various word embeddings
  - Languages - Julia package for working with various human languages
  - WordNet - A Julia package for Princeton's WordNet
  - DataDeps - Reproducible data setup for reproducible science.
  - Mixed Models - A Julia package for fitting (statistical) mixed-effects models.
  - GLMNet - Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Fortran
- [Tools](#tools-1)
  - here
  - neural-fortran - A parallel neural net microframework.
Perl 6
- Data Analysis / Data Visualization
  - Perl Data Language
- General-Purpose Machine Learning
  - Naïve Bayes
Perl
- General-Purpose Machine Learning
- Data Analysis / Data Visualization
  - used for machine learning
PHP
- General-Purpose Machine Learning
  - Rubix ML - A high-level machine learning (ML) library that lets you build programs that learn from data using the PHP language.
  - PredictionBuilder - A library for machine learning that builds predictions using a linear regression.
  - 19 Questions - A machine learning / bayesian inference assigning attributes to objects.
  - PHP-ML - Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
- Natural Language Processing
  - jieba-php - Chinese Words Segmentation Utilities.
SAS
- General-Purpose Machine Learning
  - Enterprise Miner - Data mining and machine learning that creates deployable models using a GUI or code.
  - SAS/STAT - For conducting advanced statistical analysis.
  - Text Miner - Text mining using a GUI or code.
  - ML_Tables - Concise cheat sheets containing machine learning best practices.
  - Factory Miner - Automatically creates deployable machine learning models across numerous market or customer segments using a GUI.
  - enlighten-integration - Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.
  - enlighten-apply - Example code and materials that illustrate applications of SAS machine learning techniques.
  - enlighten-deep - Example code and materials that illustrate using neural networks with several hidden layers in SAS.
  - Visual Data Mining and Machine Learning - Interactive, automated, and programmatic modelling with the latest machine learning algorithms in and end-to-end analytics environment, from data prep to deployment. Free trial available.
  - Factory Miner - Automatically creates deployable machine learning models across numerous market or customer segments using a GUI.
  - Factory Miner - Automatically creates deployable machine learning models across numerous market or customer segments using a GUI.
  - University Edition - FREE! Includes all SAS packages necessary for data analysis and visualization, and includes online SAS courses.
Go
- [Tools](#tools-1)
  - paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm. *[Deprecated]*
  - go-mxnet-predictor - Go binding for MXNet c_predict_api to do inference with a pre-trained model.
  - gota - Dataframes.
  - gogeo - Spherical geometry in Go.
  - GoCV - Package for computer vision using OpenCV 4 and beyond.
  - SVGo - The Go Language library for SVG generation.
  - bayesian - Naive Bayesian Classification for Golang. **[Deprecated]**
  - Cloudforest - Ensembles of decision trees in Go/Golang. **[Deprecated]**
  - eaopt - An evolutionary optimization library.
  - go-featureprocessing - Fast and convenient feature processing for low latency machine learning in Go.
  - go-galib - Genetic Algorithms library written in Go / Golang. **[Deprecated]**
  - go-pr - Pattern recognition package in Go lang. **[Deprecated]**
  - gobrain - Neural Networks written in Go.
  - golearn - Machine learning for Go.
  - goml - Machine learning library written in pure Go.
  - gorgonia - Deep learning in Go.
  - neat - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). **[Deprecated]**
  - sentences - Golang implementation of Punkt sentence tokenizer.
  - dataframe-go - Dataframes for machine-learning and statistics (similar to pandas).
  - go-ml-benchmarks
  - goro - A high-level machine learning library in the vein of Keras.
  - GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. **[Deprecated]**
  - go-geom - Go library to handle geometries.
  - birdland - A recommendation library in Go.
  - globe - Globe wireframe visualization.
  - leaves - A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
  - go-porterstemmer - A native Go clean room implementation of the Porter Stemming algorithm. **[Deprecated]**
  - gorse - An offline recommender system backend based on collaborative filtering written in Go.
  - gold - A reinforcement learning library.
  - snowball - Snowball Stemmer for Go.
  - go-ngram - In-memory n-gram index with compression. *[Deprecated]*
  - therfoo - An embedded deep learning library for Go.
  - go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. **[Deprecated]**
  - go-dnn - Deep Neural Networks for Golang (powered by MXNet)
  - go-graph - Graph library for Go/Golang language. **[Deprecated]**
  - RF - Random forests implementation in Go. **[Deprecated]**
  - gonum/mat - A linear algebra package for Go.
  - gonum/plot - A plotting library.
  - word-embedding - Word Embeddings: the full implementation of word2vec, GloVe in Go.
  - glot - Glot is a plotting library for Golang built on top of gnuplot.
  - go-ml-transpiler - An open source Go transpiler for machine learning models.
  - gonum/optimize - Implementations of optimization algorithms.
APL
- [Tools](#tools-1)
  - naive-apl - Naive Bayesian Classifier implementation in APL. **[Deprecated]**
C
- [Tools](#tools-1)
  - Darknet - Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
  - Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF).
  - Hybrid Recommender System - A hybrid recommender system based upon scikit-learn algorithms. **[Deprecated]**
  - CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
  - neonrvm - neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings.
  - cONNXr - An `ONNX` runtime written in pure C (99) with zero dependencies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices.
  - libonnx - A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
  - VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.
OpenCV
- OpenSource-Computer-Vision
  - OpenCV - A OpenSource Computer Vision Library
Crystal
- [Tools](#tools-1)
  - machine - Simple machine learning algorithm.
  - crystal-fann - FANN (Fast Artificial Neural Network) binding.
Rust
- General-Purpose Machine Learning
  - rusty-machine - a pure-rust machine learning library.
  - RusticSOM - A Rust library for Self Organising Maps (SOM).
  - leaf - open source framework for machine intelligence, sharing concepts from TensorFlow and Caffe. Available under the MIT license. [**[Deprecated]**](https://medium.com/@mjhirn/tensorflow-wins-89b78b29aafb#.s0a3uy4cc)
  - rustlearn - a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests.
  - linfa - a comprehensive toolkit to build Machine Learning applications with Rust
  - smartcore - "The Most Advanced Machine Learning Library In Rust."
  - deeplearn-rs - deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
  - RustNN - RustNN is a feedforward neural network library. **[Deprecated]**
Haskell
- [Tools](#tools-1)
  - HLearn - a suite of libraries for interpreting machine learning models according to their algebraic structure. **[Deprecated]**
  - LambdaNet - Configurable Neural Networks in Haskell. **[Deprecated]**
  - DNNGraph - A DSL for deep neural networks. **[Deprecated]**
  - hopfield-networks - Hopfield Networks for unsupervised learning in Haskell. **[Deprecated]**
  - haskell-ml - Haskell implementations of various ML algorithms. **[Deprecated]**
  - hnn - Haskell Neural Network library.
Elixir
- [Tools](#tools-1)
  - emel - A simple and functional machine learning library written in Elixir.
  - Simple Bayes - A Simple Bayes / Naive Bayes implementation in Elixir.
  - Stemmer - An English (Porter2) stemming implementation in Elixir.
  - Tensorflex - Tensorflow bindings for the Elixir programming language.
OCaml
- General-Purpose Machine Learning
  - TensorFlow - OCaml bindings for TensorFlow.
  - Oml - A general statistics and machine learning library.
  - GPR - Efficient Gaussian Process Regression in OCaml.
Scheme
- General-Purpose Machine Learning
  - layer - Neural network inference from the command line, implemented in [CHICKEN Scheme](https://www.call-cc.org/).
Common Lisp
- [Tools](#tools-1)
  - cl-online-learning - Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
  - cl-random-forest - Implementation of Random Forest in Common Lisp.
  - mgl - Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
  - mgl-gpr - Evolutionary algorithms. **[Deprecated]**
  - cl-libsvm - Wrapper for the libsvm support vector machine library. **[Deprecated]**
Objective C
- General-Purpose Machine Learning
  - YCML - A Machine Learning framework for Objective-C and Swift (OS X / iOS).
  - MLPNeuralNet - Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural networks. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available. **[Deprecated]**
  - MAChineLearning - An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it's 20 times faster than its Java equivalent. Includes sample code for use from Swift.
  - BPN-NeuralNetwork - It implemented 3 layers of neural networks ( Input Layer, Hidden Layer and Output Layer ) and it was named Back Propagation Neural Networks (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis. **[Deprecated]**
  - Multi-Perceptron-NeuralNetwork - it implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
  - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. **[Deprecated]**
  - KRKmeans-Algorithm - It implemented K-Means clustering and classification algorithm. It could be used in data mining and image compression. **[Deprecated]**
  - KRFuzzyCMeans-Algorithm - It implemented Fuzzy C-Means (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression. **[Deprecated]**
Erlang
- [Tools](#tools-1)
  - Disco - Map Reduce in Erlang. **[Deprecated]**
Kotlin
- [Tools](#tools-1)
  - KotlinDL - Deep learning framework written in Kotlin.

Programming Languages

Python 189 Julia 45 C++ 39 Go 36 JavaScript 33 Jupyter Notebook 33 Clojure 28 Scala 22 C 15 Java 14

awesome-machine-learning

Credits

General-Purpose Machine Learning

Ruby

General-Purpose Machine Learning

Swift

General-Purpose Machine Learning

TensorFlow

General-Purpose Machine Learning

JavaScript

[Tools](#tools-1)

.NET

[Tools](#tools-1)

Python

General-Purpose Machine Learning

C++

[Tools](#tools-1)

Clojure

[Tools](#tools-1)

Lua

[Tools](#tools-1)

R

General-Purpose Machine Learning

Java

[Tools](#tools-1)

Books

General-Purpose Machine Learning

Scala

General-Purpose Machine Learning

Matlab

[Tools](#tools-1)

Tools

General-Purpose Machine Learning

Julia

[Tools](#tools-1)

Fortran

[Tools](#tools-1)

Perl 6

Data Analysis / Data Visualization

General-Purpose Machine Learning

Perl

General-Purpose Machine Learning

Data Analysis / Data Visualization

PHP

General-Purpose Machine Learning

Natural Language Processing

SAS

General-Purpose Machine Learning

Go

[Tools](#tools-1)

APL

[Tools](#tools-1)

C

[Tools](#tools-1)

OpenCV

OpenSource-Computer-Vision

Crystal

[Tools](#tools-1)

Rust

General-Purpose Machine Learning

Haskell

[Tools](#tools-1)

Elixir

[Tools](#tools-1)

OCaml

General-Purpose Machine Learning

Scheme

General-Purpose Machine Learning

Common Lisp

[Tools](#tools-1)

Objective C

General-Purpose Machine Learning

Erlang

[Tools](#tools-1)

Kotlin

[Tools](#tools-1)