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An open API service indexing awesome lists of open source software.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.
https://github.com/ml13571/awesome-machine-learning

Last synced: 10 days ago
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  • Java

    • [Tools](#tools-1)

      • OpenNLP - A machine learning based toolkit for the processing of natural language text.
      • 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]**
      • 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.
      • 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]**
      • 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.
      • aerosolve - A machine learning library by Airbnb designed from the ground up to be human friendly.
      • 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.
      • Datumbox - Machine Learning framework for rapid development of Machine Learning and Statistical applications.
      • ELKI - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
      • FlinkML in Apache Flink - Distributed machine learning library in Flink.
      • H2O - ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
      • htm.java - General Machine Learning library using Numenta’s Cortical Learning Algorithm.
      • liblinear-java - Java version of liblinear.
      • Mahout - Distributed machine learning.
      • MLlib in Apache Spark - Distributed machine learning library in Spark.
      • Hydrosphere Mist - a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
      • ORYX - Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
      • RankLib - RankLib is a library of learning to rank algorithms. **[Deprecated]**
      • rapaio - statistics, data mining and machine learning toolbox in Java.
      • Stanford Classifier - A classifier is a machine learning tool that will take data items and place them into one of k classes.
      • Smile - Statistical Machine Intelligence & Learning Engine.
      • 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.
      • Flink - Open source platform for distributed stream and batch data processing.
      • Hadoop - Hadoop/HDFS.
      • Onyx - Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
      • Spark - Spark is a fast and general engine for large-scale data processing.
      • Storm - Storm is a distributed realtime computation system.
      • Impala - Real-time Query for Hadoop.
      • Deeplearning4j - Scalable deep learning for industry with parallel GPUs.
      • Keras Beginner Tutorial - Friendly guide on using Keras to implement a simple Neural Network in Python.
      • 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.
      • 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.
      • RapidMiner - RapidMiner integration into Java code.
      • DataMelt - Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization.

  • JavaScript

    • [Tools](#tools-1)

      • Twitter-text - A JavaScript implementation of Twitter's text processing library.
      • natural - General natural language facilities for node.
      • Knwl.js - A Natural Language Processor in JS.
      • Retext - Extensible system for analyzing and manipulating natural language.
      • NLP Compromise - Natural Language processing in the browser.
      • nlp.js - An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
      • D3.js
      • High Charts
      • dc.js
      • chartjs
      • dimple
      • amCharts
      • D3xter - Straight forward plotting built on D3. **[Deprecated]**
      • statkit - Statistics kit for JavaScript. **[Deprecated]**
      • datakit - A lightweight framework for data analysis in JavaScript
      • Z3d - Easily make interactive 3d plots built on Three.js **[Deprecated]**
      • C3.js - customizable library based on D3.js for easy chart drawing.
      • Datamaps - Customizable SVG map/geo visualizations using D3.js. **[Deprecated]**
      • ZingChart - library written on Vanilla JS for big data visualization.
      • cheminfo - Platform for data visualization and analysis, using the [visualizer](https://github.com/npellet/visualizer) project.
      • Learn JS Data
      • AnyChart
      • FusionCharts
      • Auto ML - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! **[Deprecated]**
      • Convnet.js - ConvNetJS is a JavaScript library for training Deep Learning models[DEEP LEARNING] **[Deprecated]**
      • Clusterfck - Agglomerative hierarchical clustering implemented in JavaScript for Node.js and the browser. **[Deprecated]**
      • Clustering.js - Clustering algorithms implemented in JavaScript for Node.js and the browser. **[Deprecated]**
      • figue - K-means, fuzzy c-means and agglomerative clustering.
      • Gaussian Mixture Model - Unsupervised machine learning with multivariate Gaussian mixture model.
      • Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js **[Deprecated]**
      • Keras.js - Run Keras models in the browser, with GPU support provided by WebGL 2.
      • Kmeans.js - Simple JavaScript implementation of the k-means algorithm, for node.js and the browser. **[Deprecated]**
      • LDA.js - LDA topic modelling for Node.js
      • Learning.js - JavaScript implementation of logistic regression/c4.5 decision tree **[Deprecated]**
      • machinelearn.js - Machine Learning library for the web, Node.js and developers
      • mil-tokyo - List of several machine learning libraries.
      • Node-SVM - Support Vector Machine for Node.js
      • Brain - Neural networks in JavaScript **[Deprecated]**
      • Brain.js - Neural networks in JavaScript - continued community fork of [Brain](https://github.com/harthur/brain).
      • Bayesian-Bandit - Bayesian bandit implementation for Node and the browser. **[Deprecated]**
      • Synaptic - Architecture-free neural network library for Node.js and the browser.
      • kNear - JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
      • NeuralN - C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training. **[Deprecated]**
      • kalman - Kalman filter for JavaScript. **[Deprecated]**
      • shaman - Node.js library with support for both simple and multiple linear regression. **[Deprecated]**
      • ml.js - Machine learning and numerical analysis tools for Node.js and the Browser!
      • ml5 - Friendly machine learning for the web!
      • Pavlov.js - Reinforcement learning using Markov Decision Processes.
      • TensorFlow.js - A WebGL accelerated, browser based JavaScript library for training and deploying ML models.
      • JSMLT - Machine learning toolkit with classification and clustering for Node.js; supports visualization (see [visualml.io](https://visualml.io)).
      • xgboost-node - Run XGBoost model and make predictions in Node.js.
      • Netron - Visualizer for machine learning models.
      • tensor-js - A deep learning library for the browser, accelerated by WebGL and WebAssembly.
      • WebDNN - Fast Deep Neural Network JavaScript Framework. WebDNN uses next generation JavaScript API, WebGPU for GPU execution, and WebAssembly for CPU execution.
      • 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.
      • sylvester - Vector and Matrix math for JavaScript. **[Deprecated]**
      • 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.
      • regression-js - A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
      • 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.
      • Pipcook - A JavaScript application framework for machine learning and its engineering.
      • 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).
      • Rock Paper Scissors - Rock Paper Scissors trained in the browser with TensorFlow.js
      • 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.
      • 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

  • Julia

    • [Tools](#tools-1)

      • 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]**
      • Local Regression - Local regression, so smooooth!
      • Naive Bayes - Simple Naive Bayes implementation in Julia. **[Deprecated]**
      • Simple MCMC - basic MCMC sampler implemented in Julia. **[Deprecated]**
      • Distances - Julia module for Distance evaluation.
      • 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.
      • GLM - Generalized linear models in Julia.
      • Gaussian Processes - Julia package for Gaussian processes.
      • Online Learning
      • Clustering - Basic functions for clustering data: k-means, dp-means, etc.
      • SVM - SVM for Julia. **[Deprecated]**
      • Kernel Density - Kernel density estimators for Julia.
      • MultivariateStats - Methods for dimensionality reduction.
      • NMF - A Julia package for non-negative matrix factorization.
      • ANN - Julia artificial neural networks. **[Deprecated]**
      • Mocha - Deep Learning framework for Julia inspired by Caffe. **[Deprecated]**
      • XGBoost - eXtreme Gradient Boosting Package in Julia.
      • ManifoldLearning - A Julia package for manifold learning and nonlinear dimensionality reduction.
      • Merlin - Flexible Deep Learning Framework in Julia.
      • ROCAnalysis - Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers.
      • GaussianMixtures - Large scale Gaussian Mixture Models.
      • ScikitLearn - Julia implementation of the scikit-learn API.
      • Knet - Koç University Deep Learning Framework.
      • Flux - Relax! Flux is the ML library that doesn't make you tensor
      • MLJ - A Julia machine learning framework.
      • Topic Models - TopicModels for Julia. **[Deprecated]**
      • Text Analysis - Julia package for text analysis.
      • 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
      • Graph Layout - Graph layout algorithms in pure Julia.
      • LightGraphs - Graph modelling and analysis.
      • Data Frames Meta - Metaprogramming tools for DataFrames.
      • 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.
      • Gadfly - Crafty statistical graphics for Julia.
      • Stats - Statistical tests for Julia.
      • RDataSets - Julia package for loading many of the data sets available in R.
      • DataFrames - library for working with tabular data in Julia.
      • Distributions - A Julia package for probability distributions and associated functions.
      • Data Arrays - Data structures that allow missing values. **[Deprecated]**
      • Time Series - Time series toolkit for Julia.
      • Sampling - Basic sampling algorithms for Julia.
      • DSP - Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
      • JuliaCon Presentations - Presentations for JuliaCon.
      • Images - An image library for Julia.
      • 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.

  • Kotlin

    • [Tools](#tools-1)

      • KotlinDL - Deep learning framework written in Kotlin.

  • Lua

    • [Tools](#tools-1)

      • Torch7
      • 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]**
      • graph - Graph package for Torch. **[Deprecated]**
      • signal - A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft.
      • nn - Neural Network package for Torch.
      • nngraph - This package provides graphical computation for nn library in Torch7.
      • nnx - A completely unstable and experimental package that extends Torch's builtin nn library.
      • rnn - A Recurrent Neural Network library that extends Torch's nn. RNNs, LSTMs, GRUs, BRNNs, BLSTMs, etc.
      • dpnn - Many useful features that aren't part of the main nn package.
      • 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]**
      • optim - An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
      • 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]**
      • cutorch - Torch CUDA Implementation.
      • cunn - Torch CUDA Neural Network Implementation.
      • 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]**
      • OverFeat - A state-of-the-art generic dense feature extractor. **[Deprecated]**
Programming Languages
Python 202 Julia 45 C++ 43 Go 39 Jupyter Notebook 35 JavaScript 33 Clojure 29 Scala 22 C 15 Ruby 14
Categories
Python 384 R 87 JavaScript 72 Julia 59 C++ 57 Java 53 Go 45 Lua 44 Clojure 44 Tools 29 Scala 28 Ruby 25 Matlab 18 Rust 14 .NET 13 Swift 12 SAS 11 C 8 Objective C 8 Common Lisp 7 Books 7 Perl 6 Haskell 6 PHP 5 OCaml 4 Elixir 4 Perl 6 3 TensorFlow 3 Crystal 2 Credits 2 Fortran 2 OpenCV 1 Scheme 1 Erlang 1 Kotlin 1 APL 1
Sub Categories
General-Purpose Machine Learning 626 [Tools](#tools-1) 437 Data Analysis / Data Visualization 2 Natural Language Processing 1 OpenSource-Computer-Vision 1
Keywords
machine-learning 221 python 125 deep-learning 98 data-science 73 pytorch 47 nlp 35 neural-network 35 tensorflow 30 scikit-learn 29 artificial-intelligence 26 natural-language-processing 25 ml 21 julia 20 ai 19 clojure 19 neural-networks 18 statistics 18 java 17 reinforcement-learning 15 hyperparameter-optimization 15 gpu 15 computer-vision 15 go 14 visualization 14 regression 14 machine-learning-algorithms 13 random-forest 12 automl 12 data-mining 12 numpy 12 c-plus-plus 12 keras 12 data-analysis 12 javascript 12 deep-neural-networks 12 jupyter-notebook 11 golang 11 xgboost 11 big-data 11 classification 10 cuda 10 spark 10 scala 10 llm 10 jupyter 10 r 9 rust 9 machine-learning-library 8 feature-engineering 8 named-entity-recognition 8