Nonlinear Boosting Projections For Ensemble Construction: Fill & Download for Free

Table of ContentsCGeneral-Purpose Machine LearningComputer VisionC++Computer VisionGeneral-Purpose Machine LearningNatural Language ProcessingSequence AnalysisCommon LispGeneral-Purpose Machine LearningClojureNatural Language ProcessingGeneral-Purpose Machine LearningData Analysis / Data VisualizationErlangGeneral-Purpose Machine LearningGoNatural Language ProcessingGeneral-Purpose Machine LearningData Analysis / Data VisualizationHaskellGeneral-Purpose Machine LearningJavaNatural Language ProcessingGeneral-Purpose Machine LearningData Analysis / Data VisualizationDeep LearningJavascriptNatural Language ProcessingData Analysis / Data VisualizationGeneral-Purpose Machine LearningMiscJuliaGeneral-Purpose Machine LearningNatural Language ProcessingData Analysis / Data VisualizationMisc Stuff / PresentationsLuaGeneral-Purpose Machine LearningDemos and ScriptsMatlabComputer VisionNatural Language ProcessingGeneral-Purpose Machine LearningData Analysis / Data Visualization.NETComputer VisionNatural Language ProcessingGeneral-Purpose Machine LearningData Analysis / Data VisualizationObjective CGeneral-Purpose Machine LearningPythonComputer VisionNatural Language ProcessingGeneral-Purpose Machine LearningData Analysis / Data VisualizationMisc Scripts / iPython Notebooks / CodebasesKaggle Competition Source CodeRubyNatural Language ProcessingGeneral-Purpose Machine LearningData Analysis / Data VisualizationMiscRGeneral-Purpose Machine LearningData Analysis / Data VisualizationScalaNatural Language ProcessingData Analysis / Data VisualizationGeneral-Purpose Machine LearningSwiftGeneral-Purpose Machine LearningCreditsCGeneral-Purpose Machine LearningRecommender – A C library for product recommendations/suggestions using collaborative filtering (CF).Computer VisionCCV – C-based/Cached/Core Computer Vision Library, A Modern Computer Vision LibraryVLFeat – VLFeat is an open and portable library of computer vision algorithms, which has Matlab toolboxC++Computer VisionOpenCV – 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 modelsVIGRA – VIGRA is a generic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.General-Purpose Machine LearningMLPack – A scalable C++ machine learning libraryDLib – A suite of ML tools designed to be easy to imbed in other applicationsencog-cppsharkVowpal Wabbit (VW) – A fast out-of-core learning system.sofia-ml – Suite of fast incremental algorithms.Shogun – The Shogun Machine Learning ToolboxCaffe – 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 samplingBanditLib – 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.Natural Language ProcessingMIT Information Extraction Toolkit – C, C++, and Python tools for named entity recognition and relation extractionCRF++ – Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks.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 formatfrog – 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 RecognitionKaldi – 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 AnalysisToPS – This is an objected-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet.Common LispGeneral-Purpose Machine Learningmgl – Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processesmgl-gpr – Evolutionary algorithmscl-libsvm – Wrapper for the libsvm support vector machine libraryClojureNatural Language ProcessingClojure-openNLP – Natural Language Processing in Clojure (opennlp)Infections-clj – Rails-like inflection library for Clojure and ClojureScriptGeneral-Purpose Machine LearningTouchstone – Clojure A/B testing libraryClojush – he Push programming language and the PushGP genetic programming system implemented in ClojureInfer – Inference and machine learning in clojureClj-ML – A machine learning library for Clojure built on top of Weka and friendsEncog – Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets)Fungp – A genetic programming library for ClojureStatistiker – Basic Machine Learning algorithms in Clojure.clortex – General Machine Learning library using Numenta’s Cortical Learning Algorithmcomportex – Functionally composable Machine Learning library using Numenta’s Cortical Learning AlgorithmData Analysis / Data VisualizationIncanter – 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 D3ErlangGeneral-Purpose Machine LearningDisco – Map Reduce in ErlangGoNatural Language Processinggo-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 LearningGo Learn – Machine Learning for Gogo-pr – Pattern recognition package in Go lang.go-ml – Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distributionbayesian – Naive Bayesian Classification for Golang.go-galib – Genetic Algorithms library written in Go / golangCloudforest – Ensembles of decision trees in go/golang.gobrain – Neural Networks written in goData Analysis / Data Visualizationgo-graph – Graph library for Go/golang language.SVGo – The Go Language library for SVG generationHaskellGeneral-Purpose Machine Learninghaskell-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 networksLambdaNet – Configurable Neural Networks in HaskellJavaNatural Language ProcessingCortical.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 wordsStanford Parser – A natural language parser is a program that works out the grammatical structure of sentencesStanford POS Tagger – A Part-Of-Speech Tagger (POS TaggerStanford 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 SystemStanford 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 fashionStanford Topic Modeling Toolbox – Topic modeling tools to social scientists and others who wish to perform analysis on datasetsTwitter Text Java – A Java implementation of Twitter’s text processing libraryMALLET – 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.General-Purpose Machine LearningDatumbox – Machine Learning framework for rapid development of Machine Learning and Statistical applicationsELKI – 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.H2O – ML engine that supports distributed learning on data stored in HDFS.htm.java – General Machine Learning library using Numenta’s Cortical Learning Algorithmjava-deeplearning – Distributed Deep Learning Platform for Java, Clojure,ScalaJAVA-ML – A general ML library with a common interface for all algorithms in JavaJSAT – Numerous Machine Learning algorithms for classification, regression, and clustering.Mahout – Distributed machine learningMeka – An open source implementation of methods for multi-label classification and evaluation (extension to Weka).MLlib in Apache Spark – Distributed machine learning library in SparkNeuroph – Neuroph is lightweight Java neural network frameworkORYX – 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 algorithmsRapidMiner – RapidMiner integration into Java codeStanford Classifier – A classifier is a machine learning tool that will take data items and place them into one of k classes.WalnutiQ – object oriented model of the human brainWeka – Weka is a collection of machine learning algorithms for data mining tasksSpeech RecognitionCMU Sphinx – Open Source Toolkit For Speech Recognition purely based on Java speech recognition library.Data Analysis / Data VisualizationHadoop – Hadoop/HDFSSpark – Spark is a fast and general engine for large-scale data processing.Impala – Real-time Query for HadoopDeep LearningDeeplearning4j – Scalable deep learning for industry with parallel GPUsJavascriptNatural Language ProcessingTwitter-text-js – A JavaScript implementation of Twitter’s text processing libraryNLP.js – NLP utilities in javascript and coffeescriptnatural – General natural language facilities for nodeKnwl.js – A Natural Language Processor in JSRetext – Extensible system for analyzing and manipulating natural languageTextProcessing – Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.Data Analysis / Data VisualizationD3.jsHigh ChartsNVD3.jsdc.jschartjsdimpleamChartsD3xter – Straight forward plotting built on D3statkit – Statistics kit for JavaScriptscience.js – Scientific and statistical computing in JavaScript.Z3d – Easily make interactive 3d plots built on Three.jsSigma.js – JavaScript library dedicated to graph drawing.General-Purpose Machine LearningConvnet.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 browserClustering.js – Clustering algorithms implemented in Javascript for Node.js and the browserDecision Trees – NodeJS Implementation of Decision Tree using ID3 Algorithmfigue – K-means, fuzzy c-means and agglomerative clusteringNode-fann – FANN (Fast Artificial Neural Network Library) bindings for Node.jsKmeans.js – Simple Javascript implementation of the k-means algorithm, for node.js and the browserLDA.js – LDA topic modeling for node.jsLearning.js – Javascript implementation of logistic regression/c4.5 decision treeMachine Learning – Machine learning library for Node.jsmil-tokyo – List of several machine learning librariesNode-SVM – Support Vector Machine for nodejsBrain – Neural networks in JavaScriptBayesian-Bandit – Bayesian bandit implementation for Node and the browser.Synaptic – Architecture-free neural network library for node.js and the browserkNear – JavaScript implementation of the k nearest neighbors algorithm for supervised learningNeuralN – C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training.kalman – Kalman filter for Javascript.Miscsylvester – 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.JuliaGeneral-Purpose Machine LearningMachineLearning – Julia Machine Learning libraryMLBase – A set of functions to support the development of machine learning algorithmsPGM – A Julia framework for probabilistic graphical models.DA – Julia package for Regularized Discriminant AnalysisRegression – Algorithms for regression analysis (e.g. linear regression and logistic regression)Local Regression – Local regression, so smooooth!Naive Bayes – Simple Naive Bayes implementation in JuliaMixed Models – A Julia package for fitting (statistical) mixed-effects modelsSimple MCMC – basic mcmc sampler implemented in JuliaDistance – Julia module for Distance evaluationDecision Tree – Decision Tree Classifier and RegressorNeural – A neural network in JuliaMCMC – MCMC tools for JuliaMamba – Markov chain Monte Carlo (MCMC) for Bayesian analysis in JuliaGLM – Generalized linear models in JuliaOnline LearningGLMNet – Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnetClustering – Basic functions for clustering data: k-means, dp-means, etc.SVM – SVM’s for JuliaKernal Density – Kernel density estimators for juliaDimensionality Reduction – Methods for dimensionality reductionNMF – A Julia package for non-negative matrix factorizationANN – Julia artificial neural networksMocha – Deep Learning framework for Julia inspired by CaffeXGBoost – eXtreme Gradient Boosting Package in JuliaManifoldLearning – A Julia package for manifold learning and nonlinear dimensionality reductionNatural Language ProcessingTopic Models – TopicModels for JuliaText Analysis – Julia package for text analysisData Analysis / Data VisualizationGraph Layout – Graph layout algorithms in pure JuliaData Frames Meta – Metaprogramming tools for DataFramesJulia Data – library for working with tabular data in JuliaData Read – Read files from Stata, SAS, and SPSSHypothesis Tests – Hypothesis tests for JuliaGadfly – Crafty statistical graphics for Julia.Stats – Statistical tests for JuliaRDataSets – Julia package for loading many of the data sets available in RDataFrames – library for working with tabular data in JuliaDistributions – A Julia package for probability distributions and associated functions.Data Arrays – Data structures that allow missing valuesTime Series – Time series toolkit for JuliaSampling – Basic sampling algorithms for JuliaMisc Stuff / PresentationsDSP – Digital Signal Processing (filtering, periodograms, spectrograms, window functions).JuliaCon Presentations – Presentations for JuliaConSignalProcessing – Signal Processing tools for JuliaImages – An image library for JuliaLuaGeneral-Purpose Machine LearningTorch7cephes – 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 Torchrandomkit – Numpy’s randomkit, wrapped for Torchsignal – A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stftnn – Neural Network package for Torchnngraph – This package provides graphical computation for nn library in Torch7.nnx – A completely unstable and experimental package that extends Torch’s builtin nn libraryoptim – 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 manifoldssvm – Torch-SVM librarylbfgs – FFI Wrapper for liblbfgsvowpalwabbit – 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 @MichaelMathieuLuaSHKit – A lua wrapper around the Locality sensitive hashing library SHKitkernel smoothing – KNN, kernel-weighted average, local linear regression smootherscutorch – Torch CUDA Implementationcunn – Torch CUDA Neural Network Implementationimgraph – 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 sequencesfm – A bundle adjustment/structure from motion packagefex – A package for feature extraction in Torch. Provides SIFT and dSIFT modules.OverFeat – A state-of-the-art generic dense feature extractorNumeric LuaLunatic PythonSciLuaLua – Numerical AlgorithmsLunumDemos and ScriptsCore torch7 demos repository.linear-regression, logistic-regressionface detector (training and detection as separate demos)mst-based-segmentertrain-a-digit-classifiertrain-autoencoderoptical flow demotrain-on-housenumberstrain-on-cifartracking with deep netskinect demofilter-bank visualizationsaliency-networksTraining a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo)Music Tagging – Music Tagging scripts for torch7torch-datasets – Scripts to load several popular datasets including:BSR 500CIFAR-10COILStreet View House NumbersMNISTNORBAtari2600 – Scripts to generate a dataset with static frames from the Arcade Learning EnvironmentMatlabComputer VisionContourlets – MATLAB source code that implements the contourlet transform and its utility functions.Shearlets – MATLAB code for shearlet transformCurvelets – 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 transformNatural Language ProcessingNLP – An NLP library for MatlabGeneral-Purpose Machine LearningTraining a deep autoencoder or a classifier on MNIST digits – Training a deep autoencoder or a classifier on MNIST digits[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 MachinesLibLinear – A Library for Large Linear ClassificationMachine Learning Module – Class on machine w/ PDF,lectures,codeCaffe – 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.Data Analysis / Data Visualizationmatlab_gbl – MatlabBGL is a Matlab package for working with graphs.gamic – Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL’s mex functions..NETComputer VisionOpenCVDotNet – 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 http://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 ProcessingStanford.NLP for .NET – A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.General-Purpose Machine LearningAccord-Framework -The http://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 http://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 Visualizationnuml – 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 CGeneral-Purpose Machine LearningMLPNeuralNet – 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.PythonComputer VisionSimpleCV – 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.Natural Language ProcessingNLTK – 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 languageTextBlob – 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.nut – Natural language Understanding ToolkitRosetta – 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)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 LearningXGBoost – Python bindings for eXtreme Gradient Boosting (Tree) LibraryBayesian Methods for Hackers – Book/iPython notebooks on Probabilistic Programming in PythonFeatureforge A set of tools for creating and testing machine learning features, with a scikit-learn compatible APIMLlib in Apache Spark – Distributed machine learning library in Sparkscikit-learn – A Python module for machine learning built on top of SciPy.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.gensim – Topic Modelling for Humans.PyBrain – Another Python Machine Learning Library.Crab – A flexible, fast recommender engine.python-recsys – A Python library for implementing a Recommender System.thinking bayes – Book on Bayesian AnalysisRestricted Boltzmann Machines -Restricted Boltzmann Machines in Python. [DEEP LEARNING]Bolt – Bolt Online Learning ToolboxCoverTree – Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtreenilearn – Machine learning for NeuroImaging in PythonShogun – The Shogun Machine Learning ToolboxPyevolve – 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 networkspyhsmm – 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://code.google.com/p/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 LearningTheano – Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Pythonyahmm – 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 Pythonmlxtend – 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]Data Analysis / Data VisualizationSciPy – 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.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.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.pycascadingPetrel – 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 Predictionvispy – GPU-based high-performance interactive OpenGL 2D/3D data visualization librarycerebro2 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)Misc Scripts / iPython Notebooks / CodebasesBioPy – Biologically-Inspired and Machine Learning Algorithms in Python.pattern_classificationthinking stats 2hyperoptnumpic2012-paper-diginormA gallery of interesting IPython notebooksipython-notebooksdecision-weightsSarah Palin LDA – Topic Modeling the Sarah Palin emails.Diffusion Segmentation – A collection of image segmentation algorithms based on diffusion methodsScipy Tutorials – SciPy tutorials. This is outdated, check out scipy-lecture-notesCrab – A recommendation engine library for PythonBayesPy – Bayesian Inference Tools in Pythonscikit-learn tutorials – Series of notebooks for learning scikit-learnsentiment-analyzer – Tweets Sentiment Analyzersentiment_classifier – Sentiment classifier using word sense disambiguation.group-lasso – Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso modeljProcessing – 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-pythonpandas cookbook – Recipes for using Python’s pandas libraryclimin – Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and othersAllen 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.Kaggle Competition Source Codewiki challenge – An implementation of Dell Zhang’s solution to Wikipedia’s Participation Challenge on Kagglekaggle insults – Kaggle Submission for “Detecting Insults in Social Commentary”kaggle_acquire-valued-shoppers-challenge – Code for the Kaggle acquire valued shoppers challengekaggle-cifar – Code for the CIFAR-10 competition at Kaggle, uses cuda-convnetkaggle-blackbox – Deep learning made easykaggle-accelerometer – Code for Accelerometer Biometric Competition at Kagglekaggle-advertised-salaries – Predicting job salaries from ads – a Kaggle competitionkaggle amazon – Amazon access control challengekaggle-bestbuy_big – Code for the Best Buy competition at Kagglekaggle-bestbuy_smallKaggle Dogs vs. Cats – Code for Kaggle Dovs vs. Cats competitionKaggle Galaxy Challenge – Winning solution for the Galaxy Challenge on KaggleKaggle Gender – A Kaggle competition: discriminate gender based on handwritingKaggle Merck – Merck challenge at KaggleKaggle Stackoverflow – Predicting closed questions on Stack Overflowkaggle_acquire-valued-shoppers-challenge – Code for the Kaggle acquire valued shoppers challengewine-quality – Predicting wine qualityRubyNatural Language ProcessingTreat – Text REtrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for RubyRuby 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 RubyRuby Wordnet – This library is a Ruby interface to WordNetRaspel – raspell is an interface binding for rubyUEA Stemmer – Ruby port of UEALite Stemmer – a conservative stemmer for search and indexingTwitter-text-rb – A library that does auto linking and extraction of usernames, lists and hashtags in tweetsGeneral-Purpose Machine LearningRuby Machine Learning – Some Machine Learning algorithms, implemented in RubyMachine Learning RubyjRuby 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.Neural Networks and Deep Learning – Code samples for my book “Neural Networks and Deep Learning” [DEEP LEARNING]Data Analysis / Data Visualizationrsruby – Ruby – R bridgedata-visualization-ruby – Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Rubyruby-plot – gnuplot wrapper for ruby, especially for plotting roc curves into svg filesplot-rb – A plotting library in Ruby built on top of Vega and D3.scruffy – A beautiful graphing toolkit for RubySciRubyGlean – A data management tool for humansBiorubyArelMiscBig Data For ChimpsListof – 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 listRGeneral-Purpose Machine Learningahaz – ahaz: Regularization for semiparametric additive hazards regressionarules – arules: Mining Association Rules and Frequent Itemsetsbigrf – bigrf: Big Random Forests: Classification and Regression Forests for Large Data SetsbigRR – bigRR: Generalized Ridge Regression (with special advantage for p >> n cases)bmrm – bmrm: Bundle Methods for Regularized Risk Minimization PackageBoruta – Boruta: A wrapper algorithm for all-relevant feature selectionbst – bst: Gradient BoostingC50 – C50: C5.0 Decision Trees and Rule-Based Modelscaret – 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 LearningCORElearn – CORElearn: Classification, regression, feature evaluation and ordinal evaluationCoxBoost – CoxBoost: Cox models by likelihood based boosting for a single survival endpoint or competing risksCubist – Cubist: Rule- and Instance-Based Regression Modelinge1071 – e1071: Misc Functions of the Department of Statistics (e1071), TU Wienearth – earth: Multivariate Adaptive Regression Spline Modelselasticnet – elasticnet: Elastic-Net for Sparse Estimation and Sparse PCAElemStatLearn – 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 Friedmanevtree – evtree: Evolutionary Learning of Globally Optimal Treesfpc – fpc: Flexible procedures for clusteringfrbs – frbs: Fuzzy Rule-based Systems for Classification and Regression TasksGAMBoost – GAMBoost: Generalized linear and additive models by likelihood based boostinggamboostLSS – gamboostLSS: Boosting Methods for GAMLSSgbm – gbm: Generalized Boosted Regression Modelsglmnet – glmnet: Lasso and elastic-net regularized generalized linear modelsglmpath – glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards ModelGMMBoost – GMMBoost: Likelihood-based Boosting for Generalized mixed modelsgrplasso – grplasso: Fitting user specified models with Group Lasso penaltygrpreg – grpreg: Regularization paths for regression models with grouped covariatesh2o – A framework for fast, parallel, and distributed machine learning algorithms at scale — Deeplearning, Random forests, GBM, KMeans, PCA, GLMhda – hda: Heteroscedastic Discriminant AnalysisIntroduction to Statistical Learningipred – ipred: Improved Predictorskernlab – kernlab: Kernel-based Machine Learning LabklaR – klaR: Classification and visualizationlars – lars: Least Angle Regression, Lasso and Forward Stagewiselasso2 – lasso2: L1 constrained estimation aka ‘lasso’LiblineaR – LiblineaR: Linear Predictive Models Based On The Liblinear C/C++ LibraryLogicReg – LogicReg: Logic RegressionMachine Learning For Hackersmaptree – maptree: Mapping, pruning, and graphing tree modelsmboost – mboost: Model-Based Boostingmedley – medley: Blending regression models, using a greedy stepwise approachmlr – mlr: Machine Learning in Rmvpart – mvpart: Multivariate partitioningncvreg – ncvreg: Regularization paths for SCAD- and MCP-penalized regression modelsnnet – nnet: Feed-forward Neural Networks and Multinomial Log-Linear Modelsoblique.tree – oblique.tree: Oblique Trees for Classification Datapamr – pamr: Pam: prediction analysis for microarraysparty – party: A Laboratory for Recursive Partytioningpartykit – partykit: A Toolkit for Recursive Partytioningpenalized – penalized: L1 (lasso and fused lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox modelpenalizedLDA – penalizedLDA: Penalized classification using Fisher’s linear discriminantpenalizedSVM – penalizedSVM: Feature Selection SVM using penalty functionsquantregForest – quantregForest: Quantile Regression ForestsrandomForest – randomForest: Breiman and Cutler’s random forests for classification and regressionrandomForestSRC – randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC)rattle – rattle: Graphical user interface for data mining in Rrda – rda: Shrunken Centroids Regularized Discriminant Analysisrdetools – rdetools: Relevant Dimension Estimation (RDE) in Feature SpacesREEMtree – REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Datarelaxo – relaxo: Relaxed Lassorgenoud – rgenoud: R version of GENetic Optimization Using Derivativesrgp – rgp: R genetic programming frameworkRmalschains – Rmalschains: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in Rrminer – rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regressionROCR – ROCR: Visualizing the performance of scoring classifiersRoughSets – RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theoriesrpart – rpart: Recursive Partitioning and Regression TreesRPMM – RPMM: Recursively Partitioned Mixture ModelRSNNS – RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)RWeka – RWeka: R/Weka interfaceRXshrink – RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regressionsda – sda: Shrinkage Discriminant Analysis and CAT Score Variable SelectionSDDA – SDDA: Stepwise Diagonal Discriminant AnalysisSuperLearner and subsemble – Multi-algorithm ensemble learning packages.svmpath – svmpath: svmpath: the SVM Path algorithmtgp – tgp: Bayesian treed Gaussian process modelstree – tree: Classification and regression treesvarSelRF – varSelRF: Variable selection using random forestsXGBoost.R – R binding for eXtreme Gradient Boosting (Tree) LibraryData Analysis / Data Visualizationggplot2 – A data visualization package based on the grammar of graphics.ScalaNatural Language ProcessingScalaNLP – 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 VisualizationMLlib in Apache Spark – Distributed machine learning library in SparkScalding – A Scala API for CascadingSumming Bird – Streaming MapReduce with Scalding and StormAlgebird – Abstract Algebra for Scalaxerial – Data management utilities for Scalasimmer – 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 LearningGeneral-Purpose Machine LearningConjecture – Scalable Machine Learning in Scaldingbrushfire – decision trees and random forests for scaldingganitha – scalding powered machine learningadam – 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 languageBIDMach – CPU and GPU-accelerated Machine Learning Library.Figaro – a Scala library for constructing probabilistic models.h2o-sparkling – H2O and Spark interoperability.SwiftGeneral-Purpose Machine Learningswix – A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development.More: A Curated List of Awesome Machine Learning Frameworks, Libraries and Softwares - MoData