ios 机器语言

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Awesome Machine Learning

awesome-machine-learning - 非常棒的机器学习框架，库和软件集合，按语言划分。 Inspired by awesome-php.
If you want to contribute to this list (please do), send me a pull request or contact me@josephmisiti Also,
when you noticed that listed repository should be deprecated.

Repository's owner explicitly say that "this library is not maintained".
Not committed for long time (2~3 years).

For a list of free machine learning books available for download, go here.

Table of Contents

C

General-Purpose Machine Learning
Computer Vision

C++

Computer Vision
General-Purpose Machine Learning
Natural Language Processing
Sequence Analysis
Gesture Recognition

Common Lisp

General-Purpose Machine Learning

Clojure

Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization

Erlang

General-Purpose Machine Learning

Go

Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization

Haskell

General-Purpose Machine Learning

Java

Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
Deep Learning

Javascript

Natural Language Processing
Data Analysis / Data Visualization
General-Purpose Machine Learning
Misc

Julia

General-Purpose Machine Learning
Natural Language Processing
Data Analysis / Data Visualization
Misc Stuff / Presentations

Lua

General-Purpose Machine Learning
Demos and Scripts

Matlab

Computer Vision
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization

.NET

Computer Vision
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization

Objective C

General-Purpose Machine Learning

OCaml

General-Purpose Machine Learning

PHP

Natural Language Processing
General-Purpose Machine Learning

Python

Computer Vision
Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
Misc Scripts / iPython Notebooks / Codebases
Kaggle Competition Source Code

Ruby

Natural Language Processing
General-Purpose Machine Learning
Data Analysis / Data Visualization
Misc

Rust

General-Purpose Machine Learning

R

General-Purpose Machine Learning
Data Analysis / Data Visualization

Scala

Natural Language Processing
Data Analysis / Data Visualization
General-Purpose Machine Learning

Swift

General-Purpose Machine Learning

Credits

C

General-Purpose
Machine Learning

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

Computer
Vision

CCV -
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has Matlab
toolbox

Speech Recognition

HTK -The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating
hidden Markov models.

C++

Computer
Vision

OpenCV -
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
DLib - DLib has C++ and Python interfaces for face detection and training general object
detectors.
EBLearn - Eblearn is an object-oriented C++ library that implements various machine
learning models
VIGRA - VIGRA is a generic cross-platform C++ computer vision and machine learning
library for volumes of arbitrary dimensionality with Python bindings.

General-Purpose
Machine Learning

mlpack -
A scalable C++ machine learning library
DLib - A suite of ML tools designed to be easy to imbed in other applications
encog-cpp
shark
Vowpal Wabbit (VW) - A fast out-of-core learning system.
sofia-ml - Suite of fast incremental algorithms.
Shogun - The Shogun Machine Learning Toolbox
Caffe - A deep learning framework developed with cleanliness, readability, and speed
in mind. [DEEP LEARNING]
CXXNET - Yet another deep learning framework with less than 1000 lines core code
[DEEP LEARNING]
XGBoost - A parallelized optimized general purpose gradient boosting library.
CUDA - This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING]
Stan - A probabilistic programming language implementing full Bayesian statistical inference with
Hamiltonian Monte Carlo sampling
BanditLib - A simple Multi-armed Bandit library.
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.
Disrtibuted 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.
igraph - General purpose graph library
Warp-CTC - A fast parallel implementation of Connectionist Temporal Classification
(CTC), on both CPU and GPU.
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.
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.

Natural
Language Processing

MIT
Information Extraction Toolkit - C, C++, and Python tools for named entity recognition and relation extraction
CRF++ - Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling
sequential data & other Natural Language Processing tasks.
CRFsuite - CRFsuite is an implementation of Conditional Random Fields (CRFs)
for labeling sequential data.
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
frog - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency
parser, NER, shallow parser, morphological analyzer.
MeTA - MeTA
: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.

Speech Recognition

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.

Sequence
Analysis

ToPS -
This is an objected-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet.

Gesture
Detection

grt -
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.

Common
Lisp

General-Purpose
Machine Learning

mgl -
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes
mgl-gpr - Evolutionary algorithms
cl-libsvm - Wrapper for the libsvm support vector machine library

Clojure

Natural
Language Processing

Clojure-openNLP -
Natural Language Processing in Clojure (opennlp)
Infections-clj - Rails-like inflection library for Clojure and ClojureScript

General-Purpose
Machine Learning

Touchstone -
Clojure A/B testing library
Clojush - he Push programming language and the PushGP genetic programming system
implemented in Clojure
Infer - Inference and machine learning in clojure
Clj-ML - A machine learning library for Clojure built on top of Weka and friends
Encog - Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes
in neural-nets)
Fungp - A genetic programming library for Clojure
Statistiker - Basic Machine Learning algorithms in Clojure.
clortex - General Machine Learning library using Numenta’s Cortical Learning
Algorithm
comportex - Functionally composable Machine Learning library using Numenta’s
Cortical Learning Algorithm

Data
Analysis / Data Visualization

Incanter -
Incanter is a Clojure-based, R-like platform for statistical computing and graphics.
PigPen - Map-Reduce for Clojure.
Envision - Clojure Data Visualisation library, based on Statistiker and D3

Erlang

General-Purpose
Machine Learning

Disco -
Map Reduce in Erlang

Go

Natural
Language Processing

go-porterstemmer -
A native Go clean room implementation of the Porter Stemming algorithm.
paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm.
snowball - Snowball Stemmer for Go.
go-ngram - In-memory n-gram index with compression.

General-Purpose
Machine Learning

Go
Learn - Machine Learning for Go
go-pr - Pattern recognition package in Go lang.
go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering
and Gaussian Multivariate Distribution
bayesian - Naive Bayesian Classification for Golang.
go-galib - Genetic Algorithms library written in Go / golang
Cloudforest - Ensembles of decision trees in go/golang.
gobrain - Neural Networks written in go
GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN,
RBF, PCN
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic,
Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.

Data
Analysis / Data Visualization

go-graph -
Graph library for Go/golang language.
SVGo - The Go Language library for SVG generation
RF - Random forests implementation in Go

Haskell

General-Purpose
Machine Learning

haskell-ml -
Haskell implementations of various ML algorithms.
HLearn - a suite of libraries for interpreting machine learning models according
to their algebraic structure.
hnn - Haskell Neural Network library.
hopfield-networks - Hopfield Networks for unsupervised learning in Haskell.
caffegraph - A DSL for deep neural networks
LambdaNet - Configurable Neural Networks in Haskell

Java

Natural
Language Processing

Cortical.io -
Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain.
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
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
Stanford Topic Modeling Toolbox - Topic modeling tools to social scientists
and others who wish to perform analysis on datasets
Twitter Text Java - A Java implementation of Twitter's text processing
library
MALLET - A Java-based package for statistical natural language processing, document classification,
clustering, topic modeling, information extraction, and other machine learning applications to text.
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.
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.
ClearNLP - The ClearNLP 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. This project is under the Apache 2 license.

General-Purpose
Machine Learning

aerosolve -
A machine learning library by Airbnb designed from the ground up to be human friendly.
Datumbox - Machine Learning framework for rapid development of Machine
Learning and Statistical applications
ELKI - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
Encog - An advanced neural network and machine learning framework. Encog contains
classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI
based workbench is also provided to help model and train neural networks.
EvA2 -
Evolutionary Algorithms Framework with Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Evolution Strategies, Covariance Matrix Adaptation Evolution Strategy, and more
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
java-deeplearning - Distributed Deep Learning Platform for Java, Clojure,Scala
JAVA-ML - A general ML library with a common interface for all algorithms in Java
JSAT - Numerous Machine Learning algorithms for classification,
regression, and clustering.
Mahout - Distributed machine learning
Meka - An open source implementation of methods for multi-label classification and evaluation
(extension to Weka).
MLlib in Apache Spark - Distributed machine learning library in
Spark
Neuroph - Neuroph is lightweight Java neural network framework
ORYX - Lambda Architecture Framework using Apache Spark and Apache Kafka with a
specialization for real-time large-scale machine learning.
Samoa SAMOA is a framework that includes distributed machine learning for data streams
with an interface to plug-in different stream processing platforms.
RankLib - RankLib is a library of learning to rank algorithms
rapaio - statistics, data mining and machine learning toolbox in Java
RapidMiner - RapidMiner integration
into Java code
Stanford Classifier - A classifier is a machine learning tool that
will take data items and place them into one of k classes.
SmileMiner - Statistical Machine Intelligence & Learning Engine
SystemML - flexible, scalable machine learning (ML) language.
WalnutiQ - object oriented model of the human brain
Weka - Weka is a collection of machine learning algorithms for data mining tasks

Speech Recognition

CMU Sphinx - Open Source Toolkit For Speech Recognition purely based on Java speech
recognition library.

Data
Analysis / Data Visualization

Flink -
Open source platform for distributed stream and batch data processing.
Hadoop - Hadoop/HDFS
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
DataMelt - Mathematics software for numeric computation, statistics, symbolic calculations,
data analysis and data visualization.
Dr. Michael Thomas Flanagan's Java Scientific Library

Deep
Learning

Deeplearning4j -
Scalable deep learning for industry with parallel GPUs

Javascript

Natural
Language Processing

Twitter-text -
A JavaScript implementation of Twitter's text processing library
NLP.js - NLP utilities in javascript and coffeescript
natural - General natural language facilities for node
Knwl.js - A Natural Language Processor in JS
Retext - Extensible system for analyzing and manipulating natural language
TextProcessing - Sentiment analysis, stemming and lemmatization,
part-of-speech tagging and chunking, phrase extraction and named entity recognition.
NLP Compromise - Natural Language processing in the browser

Data
Analysis / Data Visualization

D3.js
High Charts
NVD3.js
dc.js
chartjs
dimple
amCharts
D3xter - Straight forward plotting built on D3
statkit - Statistics kit for JavaScript
datakit - A lightweight framework for data analysis in JavaScript
science.js - Scientific and statistical computing in JavaScript.
Z3d - Easily make interactive 3d plots built on Three.js
Sigma.js - JavaScript library dedicated to graph drawing.
C3.js- customizable library based on D3.js for easy chart drawing.
ZingChart- library written on Vanilla JS for big data visualization.
cheminfo - Platform for data visualization and analysis, using the visualizer project.

General-Purpose
Machine Learning

Convnet.js -
ConvNetJS is a Javascript library for training Deep Learning models[DEEP LEARNING]
Clusterfck - Agglomerative hierarchical clustering implemented in Javascript for
Node.js and the browser
Clustering.js - Clustering algorithms implemented in Javascript for Node.js
and the browser
Decision Trees - NodeJS Implementation of Decision Tree using
ID3 Algorithm
figue - K-means, fuzzy c-means and agglomerative clustering
Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js
Kmeans.js - Simple Javascript implementation of the k-means algorithm, for node.js
and the browser
LDA.js - LDA topic modeling for node.js
Learning.js - Javascript implementation of logistic regression/c4.5 decision
tree
Machine Learning - Machine learning library for Node.js
mil-tokyo - List of several machine learning libraries
Node-SVM - Support Vector Machine for nodejs
Brain - Neural networks in JavaScript [Deprecated]
Bayesian-Bandit - Bayesian bandit implementation for Node and the browser.
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.
kalman - Kalman filter for Javascript.
shaman - node.js library with support for both simple and multiple linear regression.
ml.js - Machine learning and numerical analysis tools for Node.js and the Browser!
Pavlov.js - Reinforcement learning using Markov Decision Processes
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic,
Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.

Misc

sylvester -
Vector and Matrix math for JavaScript.
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.
GreatCircle - Library for calculating great circle distance.

Julia

General-Purpose
Machine Learning

MachineLearning -
Julia Machine Learning library
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)
Local Regression - Local regression, so smooooth!
Naive Bayes - Simple Naive Bayes implementation in Julia
Mixed Models - A Julia package for fitting (statistical) mixed-effects models
Simple MCMC - basic mcmc sampler implemented in Julia
Distance - Julia module for Distance evaluation
Decision Tree - Decision Tree Classifier and Regressor
Neural - A neural network in Julia
MCMC - MCMC tools for Julia
Mamba - Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia
GLM - Generalized linear models in Julia
Online Learning
GLMNet - Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
Clustering - Basic functions for clustering data: k-means, dp-means, etc.
SVM - SVM's for Julia
Kernal Density - Kernel density estimators for julia
Dimensionality Reduction - Methods for dimensionality reduction
NMF - A Julia package for non-negative matrix factorization
ANN - Julia artificial neural networks
Mocha - Deep Learning framework for Julia inspired by Caffe
XGBoost - eXtreme Gradient Boosting Package in Julia
ManifoldLearning - A Julia package for manifold learning and nonlinear
dimensionality reduction
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic,
Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.

Natural
Language Processing

Topic
Models - TopicModels for Julia
Text Analysis - Julia package for text analysis

Data
Analysis / Data Visualization

Graph
Layout - Graph layout algorithms in pure Julia
Data Frames Meta - Metaprogramming tools for DataFrames
Julia Data - library for working with tabular data in Julia
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
Time Series - Time series toolkit for Julia
Sampling - Basic sampling algorithms for Julia

Misc
Stuff / Presentations

DSP -
Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
JuliaCon Presentations - Presentations for JuliaCon
SignalProcessing - Signal Processing tools for Julia
Images - An image library for Julia

Lua

General-Purpose
Machine Learning

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.
graph - Graph package for Torch
randomkit - Numpy's randomkit, wrapped for Torch

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
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).
manifold - A package to manipulate manifolds
svm - Torch-SVM library
lbfgs - FFI Wrapper for liblbfgs
vowpalwabbit - An old vowpalwabbit interface to torch.
OpenGM - OpenGM is a C++ library for graphical modeling, and inference.
The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM.
sphagetti - Spaghetti (sparse linear) module for torch7 by @MichaelMathieu
LuaSHKit - A lua wrapper around the Locality sensitive hashing library SHKit
kernel smoothing - KNN, kernel-weighted average, local linear regression
smoothers
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.
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.
saliency - code and tools around integral images. A library for finding
interest points based on fast integral histograms.
stitch - allows us to use hugin to stitch images and apply same stitching
to a video sequence
sfm - A bundle adjustment/structure from motion package
fex - A package for feature extraction in Torch. Provides SIFT and dSIFT modules.
OverFeat - A state-of-the-art generic dense feature extractor

Numeric Lua
Lunatic Python
SciLua
Lua - Numerical Algorithms
Lunum

Demos
and Scripts

Core
torch7 demos repository.

linear-regression, logistic-regression
face detector (training and detection as separate demos)
mst-based-segmenter
train-a-digit-classifier
train-autoencoder
optical flow demo
train-on-housenumbers
train-on-cifar
tracking with deep nets
kinect demo
filter-bank visualization
saliency-networks

Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo)
Music Tagging - Music Tagging scripts for torch7
torch-datasets - Scripts to load several popular datasets including:

BSR 500
CIFAR-10
COIL
Street View House Numbers
MNIST
NORB

Atari2600 - Scripts to generate a dataset with static frames from the Arcade Learning
Environment

Matlab

Computer
Vision

Contourlets -
MATLAB source code that implements the contourlet transform and its utility functions.
Shearlets - MATLAB code for shearlet transform
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
mexopencv - Collection and a development kit of MATLAB mex functions for OpenCV
library

Natural
Language Processing

NLP -
An NLP library for Matlab

General-Purpose
Machine Learning

Training
a deep autoencoder or a classifier on MNIST digits - Training a deep autoencoder or a classifier on MNIST digits[DEEP LEARNING]
Convolutional-Recursive
Deep Learning for 3D Object Classification - Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING]
t-Distributed Stochastic Neighbor Embedding - t-Distributed Stochastic Neighbor
Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets.
Spider - The spider is intended to be a complete object orientated environment
for machine learning in Matlab.
LibSVM - A Library for Support Vector Machines
LibLinear - A Library for Large Linear Classification
Machine Learning Module - Class on machine w/ PDF,lectures,code
Caffe - A deep learning framework developed with cleanliness, readability, and speed
in mind.
Pattern Recognition Toolbox - A complete object-oriented environment for machine learning
in Matlab.
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.
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 with MATLAB.

Data
Analysis / Data Visualization

matlab_gbl -
MatlabBGL is a Matlab package for working with graphs.
gamic - Efficient
pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.

.NET

Computer
Vision

OpenCVDotNet -
A wrapper for the OpenCV project to be used with .NET applications.
Emgu CV - Cross platform wrapper of OpenCV which can be compiled in Mono
to e run on Windows, Linus, Mac OS X, iOS, and Android.
AForge.NET - Open source C# framework for developers and researchers in the fields
of Computer Vision and Artificial Intelligence. Development has now shifted to GitHub.
Accord.NET - Together with AForge.NET, this library can provide image processing and computer
vision algorithms to Windows, Windows RT and Windows Phone. Some components are also available for Java and Android.

Natural
Language Processing

Stanford.NLP
for .NET - A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.

General-Purpose
Machine Learning

Accord-Framework -The
Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications.
Accord.MachineLearning - Support Vector Machines, Decision Trees,
Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
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.
Vulpes - Deep belief and deep learning implementation written in F# and leverages
CUDA GPU execution with Alea.cuBase.
Encog - An advanced neural network and machine learning framework.
Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing
time. A GUI based workbench is also provided to help model and train neural networks.
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 feed back. The chat bots can even scrape
the internet for information to return in their output as well as to use for learning.

Data
Analysis / Data Visualization

numl -
numl is a machine learning library intended to ease the use of using standard modeling techniques for both prediction and clustering.
Math.NET Numerics - Numerical foundation of the Math.NET project, aiming
to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCL Portable Profiles
47 and 344; Android/iOS with Xamarin.
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.

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 network. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available.
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 neural network ( Input Layer,
Hidden Layer and Output Layer ) and it named Back Propagation Neural Network (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis.
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 Network (BPN) and designed unlimited-hidden-layers.
KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm
(adjust the weights) in neural network of Machine Learning.
KRKmeans-Algorithm - It implemented K-Means the clustering and classification
algorithm. It could be used in data mining and image compression.
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.

OCaml

General-Purpose
Machine Learning

Oml -
A general statistics and machine learning library.
GPR - Efficient Gaussian Process Regression in OCaml.
Libra-Tk - Algorithms for learning and inference with discrete probabilistic models.

PHP

Natural
Language Processing

jieba-php -
Chinese Words Segmentation Utilities.

General-Purpose
Machine Learning

PredictionBuilder -
A library for machine learning that builds predictions using a linear regression.

Python

Computer
Vision

Scikit-Image -
A collection of algorithms for image processing in Python.
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.
Vigranumpy - Python bindings for the VIGRA C++ computer vision library.
OpenFace - Free and open source face recognition with deep neural networks.

Natural
Language Processing

NLTK -
A leading platform for building Python programs to work with human language data.
Pattern - A web mining module for the Python programming language. It has tools for
natural language processing, machine learning, among others.
Quepy - A python framework to transform natural language questions to queries in
a database query language
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.
YAlign - A sentence aligner, a friendly tool for extracting parallel sentences
from comparable corpora.
jieba - Chinese Words Segmentation Utilities.
SnowNLP - A library for processing Chinese text.
loso - Another Chinese segmentation library.
genius - A Chinese segment base on Conditional Random Field.
KoNLPy - A Python package for Korean natural language processing.
nut - Natural language Understanding Toolkit
Rosetta - Text processing tools and wrappers (e.g. Vowpal Wabbit)
BLLIP Parser - Python bindings for the BLLIP Natural Language Parser (also
known as the Charniak-Johnson parser)
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, but also ARPA
language models, Moses phrasetables, GIZA++ alignments.
python-ucto - Python binding to ucto (a unicode-aware rule-based tokenizer for
various languages)
python-frog - Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation,
dependency parsing, NER)
python-zpar - Python bindings for ZPar,
a statistical part-of-speech-tagger, constiuency parser, and dependency parser for English.
colibri-core - Python binding to C++ library for extracting and working with
with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
spaCy - Industrial strength NLP with Python and Cython.
PyStanfordDependencies - Python interface for converting Penn Treebank
trees to Stanford Dependencies.

General-Purpose
Machine Learning

machine
learning - automated build consisting of a web-interface, and set ofprogrammatic-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.
XGBoost - Python bindings for eXtreme Gradient Boosting (Tree) Library
Bayesian Methods for Hackers -
Book/iPython notebooks on Probabilistic Programming in Python
Featureforge A set of tools for creating and testing machine learning features,
with a scikit-learn compatible API
MLlib in Apache Spark - Distributed machine learning library in
Spark
scikit-learn - A Python module for machine learning built on top of SciPy.
metric-learn - A Python module for metric learning.
SimpleAI Python implementation of many of the artificial intelligence algorithms
described on the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library.
astroML - Machine Learning and Data Mining for Astronomy.
graphlab-create - A library with various machine learning models (regression,
clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.
BigML - A library that contacts external servers.
pattern - Web mining module for Python.
NuPIC - Numenta Platform for Intelligent Computing.
Pylearn2 - A Machine Learning library based on Theano.
keras - Modular neural network library based on Theano.
hebel - GPU-Accelerated Deep Learning Library in Python.
Chainer - Flexible neural network framework
gensim - Topic Modelling for Humans.
topik - Topic modelling toolkit
PyBrain - Another Python Machine Learning Library.
Brainstorm - Fast, flexible and fun neural networks. This is the successor of PyBrain.
Crab - A flexible, fast recommender engine.
python-recsys - A Python library for implementing a Recommender System.
thinking bayes - Book on Bayesian Analysis
Restricted Boltzmann Machines -Restricted Boltzmann Machines
in Python. [DEEP LEARNING]
Bolt - Bolt Online Learning Toolbox
CoverTree - Python implementation of cover trees, near-drop-in replacement for
scipy.spatial.kdtree
nilearn - Machine learning for NeuroImaging in Python
Shogun - The Shogun Machine Learning Toolbox
Pyevolve - Genetic algorithm framework.
Caffe - A deep learning framework developed with cleanliness, readability, and speed
in mind.
breze - Theano based library for deep and recurrent neural networks
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.
mrjob - A library to let Python program run on Hadoop.
SKLL - A wrapper around scikit-learn that makes it simpler to conduct
experiments.
neurolab - https://github.com/zueve/neurolab
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.
Pebl - Python Environment for Bayesian Learning
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
yahmm - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
python-timbl - A Python extension module wrapping the full TiMBL C++ programming
interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
deap - Evolutionary algorithm framework.
pydeep - Deep Learning In Python
mlxtend - A library consisting of useful tools for data science and machine learning
tasks.
neon - Nervana's high-performance Python-based
Deep Learning framework [DEEP LEARNING]
Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight
API to facilitate drop-in replacement of grid search.
Neural Networks and Deep Learning - Code samples for my
book "Neural Networks and Deep Learning" [DEEP LEARNING]
Annoy - Approximate nearest neighbours implementation
skflow - Simplified interface for TensorFlow, mimicking Scikit Learn.
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.
pgmpy A python library for working with Probabilistic Graphical Models.
DIGITS - The Deep Learning GPU Training System (DIGITS) is a web application for training
deep learning models.
Orange - Open source data visualization and data analysis for novices and experts.
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic,
Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.

Data
Analysis / Data Visualization

SciPy -
A Python-based ecosystem of open-source software for mathematics, science, and engineering.
NumPy - A fundamental package for scientific computing with Python.
Numba - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers
of Cython and NumPy.
NetworkX - A high-productivity software for complex networks.
igraph - binding to igraph library - General purpose graph library
Pandas - A library providing high-performance, easy-to-use data structures and data analysis
tools.
Open Mining - Business Intelligence (BI) in Python (Pandas web interface)
PyMC - Markov Chain Monte Carlo sampling toolkit.
zipline - A Pythonic algorithmic trading library.
PyDy - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based
around NumPy, SciPy, IPython, and matplotlib.
SymPy - A Python library for symbolic mathematics.
statsmodels - Statistical modeling and econometrics in Python.
astropy - A community Python library for Astronomy.
matplotlib - A Python 2D plotting library.
bokeh - Interactive Web Plotting for Python.
plotly - Collaborative web plotting for Python and matplotlib.
vincent - A Python to Vega translator.
d3py - A plottling library for Python, based on D3.js.
ggplot - Same API as ggplot2 for R.
ggfortify - Unified interface to ggplot2 popular R packages.
Kartograph.py - Rendering beautiful SVG maps in Python.
pygal - A Python SVG Charts Creator.
PyQtGraph - A pure-python graphics and GUI library built on PyQt4 / PySide and
NumPy.
pycascading
Petrel - Tools for writing, submitting, debugging, and monitoring Storm topologies
in pure Python.
Blaze - NumPy and Pandas interface to Big Data.
emcee - The Python ensemble sampling toolkit for affine-invariant MCMC.
windML - A Python Framework for Wind Energy Analysis and Prediction
vispy - GPU-based high-performance interactive OpenGL 2D/3D data visualization library
cerebro2 A web-based visualization and debugging platform for NuPIC.
NuPIC Studio An all-in-one NuPIC Hierarchical Temporal Memory visualization
and debugging super-tool!
SparklingPandas Pandas on PySpark (POPS)
Seaborn - A python visualization library based on matplotlib
bqplot - An API for plotting in Jupyter (IPython)

Misc
Scripts / iPython Notebooks / Codebases

BioPy -
Biologically-Inspired and Machine Learning Algorithms in Python.
pattern_classification
thinking stats 2
hyperopt
numpic
2012-paper-diginorm
A gallery of interesting IPython notebooks
ipython-notebooks
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.
decision-weights
Sarah Palin LDA - Topic Modeling 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
Crab - A recommendation engine library for Python
BayesPy - Bayesian Inference Tools in Python
scikit-learn tutorials - Series of notebooks for learning scikit-learn
sentiment-analyzer - Tweets Sentiment Analyzer
sentiment_classifier - Sentiment classifier using word sense
disambiguation.
group-lasso - Some experiments with the coordinate descent algorithm used in
the (Sparse) Group Lasso model
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.
mne-python-notebooks - IPython notebooks for EEG/MEG data processing
using mne-python
pandas cookbook - Recipes for using Python's pandas library
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 Bayes Code - Code repository for Think Bayes.
Allen Downey’s Think Complexity Code - Code for Allen Downey's book Think
Complexity.
Allen Downey’s Think OS Code - Text and supporting code for Think OS: A Brief
Introduction to Operating Systems.
Python Programming for the Humanities - Course for Python programming for
the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
GreatCircle - Library for calculating great circle distance.
Optunity examples - Examples demonstrating how to use Optunity in synergy
with machine learning libraries.
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."
TDB - TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive,
node-by-node debugging and visualization for TensorFlow.

Kaggle
Competition Source Code

wiki
challenge - An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle
kaggle insults - Kaggle Submission for "Detecting Insults in Social Commentary"
kaggle_acquire-valued-shoppers-challenge - Code for
the Kaggle acquire valued shoppers challenge
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 Dogs vs. Cats - Code for Kaggle Dovs vs. Cats competition
Kaggle Galaxy Challenge - Winning solution for the Galaxy Challenge on Kaggle
Kaggle Gender - A Kaggle competition: discriminate gender based on handwriting
Kaggle Merck - Merck challenge at Kaggle
Kaggle Stackoverflow - Predicting closed questions on Stack Overflow
kaggle_acquire-valued-shoppers-challenge - Code for
the Kaggle acquire valued shoppers challenge
wine-quality - Predicting wine quality

Ruby

Natural
Language Processing

Treat -
Text REtrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby
Ruby Linguistics - Linguistics is a framework for building linguistic
utilities for Ruby objects in any language. It includes a generic language-independent front end, a module for mapping language codes into language names, and a module which contains various English-language utilities.
Stemmer - Expose libstemmer_c to Ruby
Ruby Wordnet - This library is a Ruby interface to WordNet
Raspel - raspell is an interface binding for ruby
UEA Stemmer - Ruby port of UEALite Stemmer - a conservative stemmer for search
and indexing
Twitter-text-rb - A library that does auto linking and extraction of usernames,
lists and hashtags in tweets

General-Purpose
Machine Learning

Ruby
Machine Learning - Some Machine Learning algorithms, implemented in Ruby
Machine Learning Ruby
jRuby Mahout - JRuby Mahout is a gem that unleashes the power of Apache Mahout
in the world of JRuby.
CardMagic-Classifier - A general classifier module to allow Bayesian and other
types of classifications.
rb-libsvm - Ruby language bindings for LIBSVM which is a Library for Support Vector
Machines

Data
Analysis / Data Visualization

rsruby -
Ruby - R bridge
data-visualization-ruby - Source code and supporting content for
my Ruby Manor presentation on Data Visualisation with Ruby
ruby-plot - gnuplot wrapper for ruby, especially for plotting roc curves
into svg files
plot-rb - A plotting library in Ruby built on top of Vega and D3.
scruffy - A beautiful graphing toolkit
for Ruby
SciRuby
Glean - A data management tool for humans
Bioruby
Arel

Misc

Big
Data For Chimps
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

Rust

General-Purpose
Machine Learning

deeplearn-rs -
deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
rustlearn - a machine learning framework featuring logistic regression, support
vector machines, decision trees and random forests.
leaf - open source framework for machine intelligence, sharing concepts from TensorFlow
and Caffe. Available under the MIT license.
RustNN - RustNN is a feedforward neural network library.

R

General-Purpose
Machine Learning

ahaz -
ahaz: Regularization for semiparametric additive hazards regression
arules - arules: Mining Association Rules and Frequent Itemsets
bigrf - bigrf: Big Random Forests: Classification and Regression
Forests for Large Data Sets
bigRR - bigRR: Generalized Ridge Regression (with special advantage
for p >> n cases)
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.
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
Cubist - Cubist: Rule- and Instance-Based Regression Modeling
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
fpc - fpc: Flexible procedures for clustering
frbs - frbs: Fuzzy Rule-based Systems for Classification and
Regression Tasks
GAMBoost - GAMBoost: Generalized linear and additive models
by likelihood based boosting
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
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
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
lasso2 - lasso2: L1 constrained estimation aka ‘lasso’
LiblineaR - LiblineaR: Linear Predictive Models Based On
The Liblinear C/C++ Library
LogicReg - LogicReg: Logic Regression
Machine Learning For Hackers
maptree - maptree: Mapping, pruning, and graphing tree models
mboost - mboost: Model-Based Boosting
medley -
medley: Blending regression models, using a greedy stepwise approach
mlr - mlr: Machine Learning in R
mvpart - mvpart: Multivariate partitioning
ncvreg - ncvreg: Regularization paths for SCAD- and MCP-penalized
regression models
nnet - nnet: Feed-forward Neural Networks and Multinomial Log-Linear
Models
oblique.tree - oblique.tree: Oblique Trees for Classification
Data
pamr - pamr: Pam: prediction analysis for microarrays
party - party: A Laboratory for Recursive Partytioning
partykit - partykit: A Toolkit for Recursive Partytioning
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
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
REEMtree - REEMtree: Regression Trees with Random Effects
for Longitudinal (Panel) Data
relaxo - relaxo: Relaxed Lasso
rgenoud - rgenoud: R version of GENetic Optimization Using
Derivatives
rgp - rgp: R genetic programming framework
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
ROCR - ROCR: Visualizing the performance of scoring classifiers
RoughSets - RoughSets: Data Analysis Using Rough Set and
Fuzzy Rough Set Theories
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
SDDA - SDDA: Stepwise Diagonal Discriminant Analysis
SuperLearner and subsemble -
Multi-algorithm ensemble learning packages.
svmpath - svmpath: svmpath: the SVM Path algorithm
tgp - tgp: Bayesian treed Gaussian process models
tree - tree: Classification and regression trees
varSelRF - varSelRF: Variable selection using random forests
XGBoost.R - R binding for eXtreme Gradient Boosting (Tree) Library
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.
igraph - binding to igraph library - General purpose graph library
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic,
Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.

Data
Analysis / Data Visualization

ggplot2 -
A data visualization package based on the grammar of graphics.

Scala

Natural
Language Processing

ScalaNLP -
ScalaNLP is a suite of machine learning and numerical computing libraries.
Breeze - Breeze is a numerical processing library for Scala.
Chalk - Chalk is a natural language processing library.
FACTORIE - FACTORIE is a toolkit for deployable probabilistic modeling, implemented
as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

Data
Analysis / Data Visualization

MLlib
in Apache Spark - Distributed machine learning library in Spark
Scalding - A Scala API for Cascading
Summing Bird - Streaming MapReduce with Scalding and Storm
Algebird - Abstract Algebra for Scala
xerial - Data management utilities for Scala
simmer - Reduce your data. A unix filter for algebird-powered aggregation.
PredictionIO - PredictionIO, a machine learning server for software developers
and data engineers.
BIDMat - CPU and GPU-accelerated matrix library intended to support large-scale exploratory
data analysis.
Wolfe Declarative Machine Learning
Flink - Open source platform for distributed stream and batch data processing.

General-Purpose
Machine Learning

Conjecture -
Scalable Machine Learning in Scalding
brushfire - Distributed decision tree ensemble learning in Scala
ganitha - scalding powered machine learning
adam - A genomics processing engine and specialized file format built using
Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
bioscala - Bioinformatics for the Scala programming language
BIDMach - CPU and GPU-accelerated Machine Learning Library.
Figaro - a Scala library for constructing probabilistic models.
H2O Sparkling Water - H2O and Spark interoperability.
FlinkML in Apache Flink - Distributed
machine learning library in Flink

Swift

General-Purpose
Machine Learning

Swift
AI - Highly optimized artificial intelligence and machine learning library written in Swift.
BrainCore - The iOS and OS X neural network framework
swix - A bare bones library that includes a general matrix language and wraps some
OpenCV for iOS development.
DeepLearningKit an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS. It
currently allows using deep convolutional neural network models trained in Caffe on Apple operating systems.

Credits

Some of the python libraries were cut-and-pasted from vinta
The few go reference I found where pulled from this page

项目地址： https://github.com/josephmisiti/awesome-machine-learning

josephmisiti / awesome-machine-learning

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项目描述：A curated list of awesome Machine Learning frameworks, libraries and software. — 查看更多内容...

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#281	Add REP	由 wldhx 2016-05-26

主分支代码更新时间：2016-05-26

开发语言：Python
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