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Title: GitHub - SortedArray/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. · GitHub

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Description: A curated list of awesome Machine Learning frameworks, libraries and software. - SortedArray/awesome-machine-learning

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Clojushhttps://github.com/lspector/Clojush
Inferhttps://github.com/aria42/infer
Clj-MLhttps://github.com/antoniogarrote/clj-ml
DL4CLJhttps://github.com/engagor/dl4clj/
Encoghttps://github.com/jimpil/enclog
Fungphttps://github.com/vollmerm/fungp
Statistikerhttps://github.com/clojurewerkz/statistiker
clortexhttps://github.com/htm-community/clortex
comportexhttps://github.com/htm-community/comportex
cortexhttps://github.com/thinktopic/cortex
lambda-mlhttps://github.com/cloudkj/lambda-ml
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization
Incanterhttp://incanter.org/
PigPenhttps://github.com/Netflix/PigPen
Envisionhttps://github.com/clojurewerkz/envision
https://github.com/SortedArray/awesome-machine-learning#elixir
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-5
Simple Bayeshttps://github.com/fredwu/simple_bayes
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-2
Stemmerhttps://github.com/fredwu/stemmer
https://github.com/SortedArray/awesome-machine-learning#erlang
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-6
Discohttps://github.com/discoproject/disco/
https://github.com/SortedArray/awesome-machine-learning#go
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-3
go-porterstemmerhttps://github.com/reiver/go-porterstemmer
paicehuskhttps://github.com/Rookii/paicehusk
snowballhttps://github.com/tebeka/snowball
go-ngramhttps://github.com/Lazin/go-ngram
word-embeddinghttps://github.com/ynqa/word-embedding
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-7
gagohttps://github.com/MaxHalford/gago
Go Learnhttps://github.com/sjwhitworth/golearn
go-prhttps://github.com/daviddengcn/go-pr
go-mlhttps://github.com/alonsovidales/go_ml
bayesianhttps://github.com/jbrukh/bayesian
go-galibhttps://github.com/thoj/go-galib
Cloudforesthttps://github.com/ryanbressler/CloudForest
gobrainhttps://github.com/goml/gobrain
GoNNhttps://github.com/fxsjy/gonn
MXNethttps://github.com/dmlc/mxnet
go-mxnet-predictorhttps://github.com/songtianyi/go-mxnet-predictor
neathttps://github.com/jinyeom/neat
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-1
go-graphhttps://github.com/StepLg/go-graph
SVGohttp://www.svgopen.org/2011/papers/34-SVGo_a_Go_Library_for_SVG_generation/
RFhttps://github.com/fxsjy/RF.go
https://github.com/SortedArray/awesome-machine-learning#haskell
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-8
haskell-mlhttps://github.com/ajtulloch/haskell-ml
HLearnhttps://github.com/mikeizbicki/HLearn
hnnhttps://wiki.haskell.org/HNN
hopfield-networkshttps://github.com/ajtulloch/hopfield-networks
caffegraphhttps://github.com/ajtulloch/dnngraph
LambdaNethttps://github.com/jbarrow/LambdaNet
https://github.com/SortedArray/awesome-machine-learning#java
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-4
Cortical.iohttp://www.cortical.io/
CoreNLPhttp://nlp.stanford.edu/software/corenlp.shtml
Stanford Parserhttp://nlp.stanford.edu/software/lex-parser.shtml
Stanford POS Taggerhttp://nlp.stanford.edu/software/tagger.shtml
Stanford Name Entity Recognizerhttp://nlp.stanford.edu/software/CRF-NER.shtml
Stanford Word Segmenterhttp://nlp.stanford.edu/software/segmenter.shtml
Tregex, Tsurgeon and Semgrexhttp://nlp.stanford.edu/software/tregex.shtml
Stanford Phrasal: A Phrase-Based Translation Systemhttp://nlp.stanford.edu/phrasal/
Stanford English Tokenizerhttp://nlp.stanford.edu/software/tokenizer.shtml
Stanford Tokens Regexhttp://nlp.stanford.edu/software/tokensregex.shtml
Stanford Temporal Taggerhttp://nlp.stanford.edu/software/sutime.shtml
Stanford SPIEDhttp://nlp.stanford.edu/software/patternslearning.shtml
Stanford Topic Modeling Toolboxhttp://nlp.stanford.edu/software/tmt/tmt-0.4/
Twitter Text Javahttps://github.com/twitter/twitter-text-java
MALLEThttp://mallet.cs.umass.edu/
OpenNLPhttps://opennlp.apache.org/
LingPipehttp://alias-i.com/lingpipe/index.html
ClearTKhttps://code.google.com/archive/p/cleartk
Apache cTAKEShttp://ctakes.apache.org/
ClearNLPhttps://github.com/clir/clearnlp
CogcompNLPhttps://github.com/IllinoisCogComp/illinois-cogcomp-nlp
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-9
aerosolvehttps://github.com/airbnb/aerosolve
AMIDST Toolboxhttp://www.amidsttoolbox.com/
Datumboxhttps://github.com/datumbox/datumbox-framework
ELKIhttps://elki-project.github.io/
Encoghttps://github.com/encog/encog-java-core
FlinkML in Apache Flinkhttps://ci.apache.org/projects/flink/flink-docs-master/apis/batch/libs/ml/index.html
H2Ohttps://github.com/h2oai/h2o-3
htm.javahttps://github.com/numenta/htm.java
java-deeplearninghttps://github.com/deeplearning4j/deeplearning4j
Mahouthttps://github.com/apache/mahout
Mekahttp://meka.sourceforge.net/
MLlib in Apache Sparkhttp://spark.apache.org/docs/latest/mllib-guide.html
Hydrosphere Misthttps://github.com/Hydrospheredata/mist
Neurophhttp://neuroph.sourceforge.net/
ORYXhttps://github.com/oryxproject/oryx
Samoahttps://samoa.incubator.apache.org/
RankLibhttps://sourceforge.net/p/lemur/wiki/RankLib/
rapaiohttps://github.com/padreati/rapaio
RapidMinerhttps://rapidminer.com
Stanford Classifierhttp://nlp.stanford.edu/software/classifier.shtml
SmileMinerhttps://github.com/haifengl/smile
SystemMLhttps://github.com/apache/incubator-systemml
WalnutiQhttps://github.com/WalnutiQ/wAlnut
Wekahttp://www.cs.waikato.ac.nz/ml/weka/
LBJavahttps://github.com/IllinoisCogComp/lbjava/
https://github.com/SortedArray/awesome-machine-learning#speech-recognition-2
CMU Sphinxhttp://cmusphinx.sourceforge.net/
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-2
Flinkhttp://flink.apache.org/
Hadoophttps://github.com/apache/hadoop-mapreduce
Sparkhttps://github.com/apache/spark
Stormhttp://storm.apache.org/
Impalahttps://github.com/cloudera/impala
DataMelthttp://jwork.org/dmelt/
Dr. Michael Thomas Flanagan's Java Scientific Libraryhttp://www.ee.ucl.ac.uk/~mflanaga/java/
https://github.com/SortedArray/awesome-machine-learning#deep-learning
Deeplearning4jhttps://github.com/deeplearning4j/deeplearning4j
https://github.com/SortedArray/awesome-machine-learning#javascript
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-5
Twitter-texthttps://github.com/twitter/twitter-text
naturalhttps://github.com/NaturalNode/natural
Knwl.jshttps://github.com/loadfive/Knwl.js
Retexthttps://github.com/wooorm/retext
TextProcessinghttps://market.mashape.com/japerk/text-processing/support
NLP Compromisehttps://github.com/nlp-compromise/compromise
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-3
D3.jshttps://d3js.org/
High Chartshttp://www.highcharts.com/
NVD3.jshttp://nvd3.org/
dc.jshttp://dc-js.github.io/dc.js/
chartjshttp://www.chartjs.org/
dimplehttp://dimplejs.org/
amChartshttps://www.amcharts.com/
D3xterhttps://github.com/NathanEpstein/D3xter
statkithttps://github.com/rigtorp/statkit
datakithttps://github.com/nathanepstein/datakit
science.jshttps://github.com/jasondavies/science.js/
Z3dhttps://github.com/NathanEpstein/Z3d
Sigma.jshttp://sigmajs.org/
C3.jshttp://c3js.org/
Datamapshttp://datamaps.github.io/
ZingCharthttps://www.zingchart.com/
cheminfohttp://www.cheminfo.org/
visualizerhttps://github.com/npellet/visualizer
Learn JS Datahttp://learnjsdata.com/
AnyCharthttp://www.anychart.com/
FusionChartshttp://www.fusioncharts.com/
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-10
Convnet.jshttp://cs.stanford.edu/people/karpathy/convnetjs/
Clusterfckhttp://harthur.github.io/clusterfck/
Clustering.jshttps://github.com/emilbayes/clustering.js
Decision Treeshttps://github.com/serendipious/nodejs-decision-tree-id3
DN2Ahttps://github.com/dn2a/dn2a-javascript
figuehttps://code.google.com/archive/p/figue
Gaussian Mixture Modelhttps://github.com/lukapopijac/gaussian-mixture-model
Node-fannhttps://github.com/rlidwka/node-fann
Kmeans.jshttps://github.com/emilbayes/kMeans.js
LDA.jshttps://github.com/primaryobjects/lda
Learning.jshttps://github.com/yandongliu/learningjs
Machine Learninghttp://joonku.com/project/machine_learning
machineJShttps://github.com/ClimbsRocks/machineJS
mil-tokyohttps://github.com/mil-tokyo
Node-SVMhttps://github.com/nicolaspanel/node-svm
Brainhttps://github.com/harthur/brain
Bayesian-Bandithttps://github.com/omphalos/bayesian-bandit.js
Synaptichttps://github.com/cazala/synaptic
kNearhttps://github.com/NathanEpstein/kNear
NeuralNhttps://github.com/totemstech/neuraln
kalmanhttps://github.com/itamarwe/kalman
shamanhttps://github.com/luccastera/shaman
ml.jshttps://github.com/mljs/ml
Pavlov.jshttps://github.com/NathanEpstein/Pavlov.js
MXNethttps://github.com/dmlc/mxnet
https://github.com/SortedArray/awesome-machine-learning#misc
sylvesterhttps://github.com/jcoglan/sylvester
simple-statisticshttps://github.com/simple-statistics/simple-statistics
regression-jshttps://github.com/Tom-Alexander/regression-js
Lyrichttps://github.com/flurry/Lyric
GreatCirclehttps://github.com/mwgg/GreatCircle
https://github.com/SortedArray/awesome-machine-learning#julia
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-11
MachineLearninghttps://github.com/benhamner/MachineLearning.jl
MLBasehttps://github.com/JuliaStats/MLBase.jl
PGMhttps://github.com/JuliaStats/PGM.jl
DAhttps://github.com/trthatcher/DiscriminantAnalysis.jl
Regressionhttps://github.com/lindahua/Regression.jl
Local Regressionhttps://github.com/JuliaStats/Loess.jl
Naive Bayeshttps://github.com/nutsiepully/NaiveBayes.jl
Mixed Modelshttps://github.com/dmbates/MixedModels.jl
Simple MCMChttps://github.com/fredo-dedup/SimpleMCMC.jl
Distancehttps://github.com/JuliaStats/Distance.jl
Decision Treehttps://github.com/bensadeghi/DecisionTree.jl
Neuralhttps://github.com/compressed/BackpropNeuralNet.jl
MCMChttps://github.com/doobwa/MCMC.jl
Mambahttps://github.com/brian-j-smith/Mamba.jl
GLMhttps://github.com/JuliaStats/GLM.jl
Online Learninghttps://github.com/lendle/OnlineLearning.jl
GLMNethttps://github.com/simonster/GLMNet.jl
Clusteringhttps://github.com/JuliaStats/Clustering.jl
SVMhttps://github.com/JuliaStats/SVM.jl
Kernal Densityhttps://github.com/JuliaStats/KernelDensity.jl
Dimensionality Reductionhttps://github.com/JuliaStats/DimensionalityReduction.jl
NMFhttps://github.com/JuliaStats/NMF.jl
ANNhttps://github.com/EricChiang/ANN.jl
Mochahttps://github.com/pluskid/Mocha.jl
XGBoosthttps://github.com/dmlc/XGBoost.jl
ManifoldLearninghttps://github.com/wildart/ManifoldLearning.jl
MXNethttps://github.com/dmlc/mxnet
Merlinhttps://github.com/hshindo/Merlin.jl
ROCAnalysishttps://github.com/davidavdav/ROCAnalysis.jl
GaussianMixtureshttps://github.com/davidavdav/GaussianMixtures.jl
ScikitLearnhttps://github.com/cstjean/ScikitLearn.jl
Knethttps://github.com/denizyuret/Knet.jl
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-6
Topic Modelshttps://github.com/slycoder/TopicModels.jl
Text Analysishttps://github.com/johnmyleswhite/TextAnalysis.jl
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-4
Graph Layouthttps://github.com/IainNZ/GraphLayout.jl
LightGraphshttps://github.com/JuliaGraphs/LightGraphs.jl
Data Frames Metahttps://github.com/JuliaStats/DataFramesMeta.jl
Julia Datahttps://github.com/nfoti/JuliaData
Data Readhttps://github.com/WizardMac/ReadStat.jl
Hypothesis Testshttps://github.com/JuliaStats/HypothesisTests.jl
Gadflyhttps://github.com/GiovineItalia/Gadfly.jl
Statshttps://github.com/JuliaStats/Stats.jl
RDataSetshttps://github.com/johnmyleswhite/RDatasets.jl
DataFrameshttps://github.com/JuliaStats/DataFrames.jl
Distributionshttps://github.com/JuliaStats/Distributions.jl
Data Arrayshttps://github.com/JuliaStats/DataArrays.jl
Time Serieshttps://github.com/JuliaStats/TimeSeries.jl
Samplinghttps://github.com/lindahua/Sampling.jl
https://github.com/SortedArray/awesome-machine-learning#misc-stuff--presentations
DSPhttps://github.com/JuliaDSP/DSP.jl
JuliaCon Presentationshttps://github.com/JuliaCon/presentations
SignalProcessinghttps://github.com/davidavdav/SignalProcessing.jl
Imageshttps://github.com/JuliaImages/Images.jl
https://github.com/SortedArray/awesome-machine-learning#lua
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-12
Torch7http://torch.ch/
cepheshttps://github.com/deepmind/torch-cephes
autogradhttps://github.com/twitter/torch-autograd
graphhttps://github.com/torch/graph
randomkithttps://github.com/deepmind/torch-randomkit
signalhttp://soumith.ch/torch-signal/signal/
nnhttps://github.com/torch/nn
torchnethttps://github.com/torchnet/torchnet
nngraphhttps://github.com/torch/nngraph
nnxhttps://github.com/clementfarabet/lua---nnx
rnnhttps://github.com/Element-Research/rnn
dpnnhttps://github.com/Element-Research/dpnn
dphttps://github.com/nicholas-leonard/dp
optimhttps://github.com/torch/optim
unsuphttps://github.com/koraykv/unsup
manifoldhttps://github.com/clementfarabet/manifold
svmhttps://github.com/koraykv/torch-svm
lbfgshttps://github.com/clementfarabet/lbfgs
vowpalwabbithttps://github.com/clementfarabet/vowpal_wabbit
OpenGMhttps://github.com/clementfarabet/lua---opengm
sphagettihttps://github.com/MichaelMathieu/lua---spaghetti
LuaSHKithttps://github.com/ocallaco/LuaSHkit
kernel smoothinghttps://github.com/rlowrance/kernel-smoothers
cutorchhttps://github.com/torch/cutorch
cunnhttps://github.com/torch/cunn
imgraphhttps://github.com/clementfarabet/lua---imgraph
videographhttps://github.com/clementfarabet/videograph
saliencyhttps://github.com/marcoscoffier/torch-saliency
stitchhttps://github.com/marcoscoffier/lua---stitch
sfmhttps://github.com/marcoscoffier/lua---sfm
fexhttps://github.com/koraykv/fex
OverFeathttps://github.com/sermanet/OverFeat
Numeric Luahttp://numlua.luaforge.net/
Lunatic Pythonhttp://labix.org/lunatic-python
SciLuahttp://scilua.org/
Lua - Numerical Algorithmshttps://bitbucket.org/lucashnegri/lna
Lunumhttps://github.com/jzrake/lunum
https://github.com/SortedArray/awesome-machine-learning#demos-and-scripts
Core torch7 demos repositoryhttps://github.com/e-lab/torch7-demos
Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo)https://github.com/soumith/galaxyzoo
Music Tagginghttps://github.com/mbhenaff/MusicTagging
torch-datasetshttps://github.com/rosejn/torch-datasets
Atari2600https://github.com/fidlej/aledataset
https://github.com/SortedArray/awesome-machine-learning#matlab
https://github.com/SortedArray/awesome-machine-learning#computer-vision-2
Contourletshttp://www.ifp.illinois.edu/~minhdo/software/contourlet_toolbox.tar
Shearletshttp://www.shearlab.org/software
Curveletshttp://www.curvelet.org/software.html
Bandletshttp://www.cmap.polytechnique.fr/~peyre/download/
mexopencvhttp://kyamagu.github.io/mexopencv/
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-7
NLPhttps://amplab.cs.berkeley.edu/an-nlp-library-for-matlab/
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-13
Training a deep autoencoder or a classifier on MNIST digitshttp://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html
Convolutional-Recursive Deep Learning for 3D Object Classificationhttp://www.socher.org/index.php/Main/Convolutional-RecursiveDeepLearningFor3DObjectClassification
t-Distributed Stochastic Neighbor Embeddinghttp://homepage.tudelft.nl/19j49/t-SNE.html
Spiderhttp://people.kyb.tuebingen.mpg.de/spider/
LibSVMhttp://www.csie.ntu.edu.tw/~cjlin/libsvm/#matlab
LibLinearhttp://www.csie.ntu.edu.tw/~cjlin/liblinear/#download
Machine Learning Modulehttps://github.com/josephmisiti/machine-learning-module
Caffehttp://caffe.berkeleyvision.org
Pattern Recognition Toolboxhttps://github.com/covartech/PRT
Pattern Recognition and Machine Learninghttps://github.com/PRML/PRMLT
Optunityhttp://optunity.readthedocs.io/en/latest/
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-5
matlab_gblhttps://www.cs.purdue.edu/homes/dgleich/packages/matlab_bgl/
gamichttp://www.mathworks.com/matlabcentral/fileexchange/24134-gaimc---graph-algorithms-in-matlab-code
https://github.com/SortedArray/awesome-machine-learning#net
https://github.com/SortedArray/awesome-machine-learning#computer-vision-3
OpenCVDotNethttps://code.google.com/archive/p/opencvdotnet
Emgu CVhttp://www.emgu.com/wiki/index.php/Main_Page
AForge.NEThttp://www.aforgenet.com/framework/
Accord.NEThttp://accord-framework.net
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-8
Stanford.NLP for .NEThttps://github.com/sergey-tihon/Stanford.NLP.NET/
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-14
Accord-Frameworkhttp://accord-framework.net/
Accord.MachineLearninghttp://www.nuget.org/packages/Accord.MachineLearning/
DiffSharphttp://diffsharp.github.io/DiffSharp/
Vulpeshttps://github.com/fsprojects/Vulpes
Encoghttp://www.nuget.org/packages/encog-dotnet-core/
Neural Network Designerhttps://sourceforge.net/projects/nnd/
Infer.NEThttp://infernet.azurewebsites.net/
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-6
numlhttp://www.nuget.org/packages/numl/
Math.NET Numericshttp://www.nuget.org/packages/MathNet.Numerics/
Shohttps://www.microsoft.com/en-us/research/project/sho-the-net-playground-for-data/?from=http%3A%2F%2Fresearch.microsoft.com%2Fen-us%2Fprojects%2Fsho%2F
https://github.com/SortedArray/awesome-machine-learning#objective-c
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-15
YCMLhttps://github.com/yconst/YCML
MLPNeuralNethttps://github.com/nikolaypavlov/MLPNeuralNet
MAChineLearninghttps://github.com/gianlucabertani/MAChineLearning
BPN-NeuralNetworkhttps://github.com/Kalvar/ios-BPN-NeuralNetwork
Multi-Perceptron-NeuralNetworkhttps://github.com/Kalvar/ios-Multi-Perceptron-NeuralNetwork
KRHebbian-Algorithmhttps://github.com/Kalvar/ios-KRHebbian-Algorithm
KRKmeans-Algorithmhttps://github.com/Kalvar/ios-KRKmeans-Algorithm
KRFuzzyCMeans-Algorithmhttps://github.com/Kalvar/ios-KRFuzzyCMeans-Algorithm
https://github.com/SortedArray/awesome-machine-learning#ocaml
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-16
Omlhttps://github.com/hammerlab/oml/
GPRhttp://mmottl.github.io/gpr/
Libra-Tkhttp://libra.cs.uoregon.edu
TensorFlowhttps://github.com/LaurentMazare/tensorflow-ocaml
https://github.com/SortedArray/awesome-machine-learning#perl
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-7
Perl Data Languagehttps://metacpan.org/pod/Paws::MachineLearning
used for machine learninghttps://github.com/zenogantner/PDL-ML
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-17
MXnet for Deep Learning, in Perlhttps://github.com/dmlc/mxnet/tree/master/perl-package
released in CPANhttps://metacpan.org/pod/AI::MXNet
Paws::MachineLearninghttps://metacpan.org/pod/Paws::MachineLearning
Algorithm::SVMLighthttps://metacpan.org/pod/Algorithm::SVMLight
AIhttps://metacpan.org/search?size=20&q=AI
Naïve Bayeshttps://metacpan.org/pod/AI::NaiveBayes
https://github.com/SortedArray/awesome-machine-learning#perl-6
Support Vector Machineshttps://github.com/titsuki/p6-Algorithm-LibSVM
Naïve Bayeshttps://github.com/titsuki/p6-Algorithm-NaiveBayes
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-8
Perl Data Languagehttps://metacpan.org/pod/Paws::MachineLearning
used for machine learninghttps://github.com/zenogantner/PDL-ML
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-18
https://github.com/SortedArray/awesome-machine-learning#php
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-9
jieba-phphttps://github.com/fukuball/jieba-php
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-19
PHP-MLhttps://github.com/php-ai/php-ml
PredictionBuilderhttps://github.com/denissimon/prediction-builder
https://github.com/SortedArray/awesome-machine-learning#python
https://github.com/SortedArray/awesome-machine-learning#computer-vision-4
Scikit-Imagehttps://github.com/scikit-image/scikit-image
SimpleCVhttp://simplecv.org/
Vigranumpyhttps://github.com/ukoethe/vigra
OpenFacehttps://cmusatyalab.github.io/openface/
PCVhttps://github.com/jesolem/PCV
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-10
NLTKhttp://www.nltk.org/
Patternhttp://www.clips.ua.ac.be/pattern
Quepyhttps://github.com/machinalis/quepy
TextBlobhttp://textblob.readthedocs.io/en/dev/
YAlignhttps://github.com/machinalis/yalign
jiebahttps://github.com/fxsjy/jieba#jieba-1
SnowNLPhttps://github.com/isnowfy/snownlp
spammyhttps://github.com/prodicus/spammy
losohttps://github.com/victorlin/loso
geniushttps://github.com/duanhongyi/genius
KoNLPyhttp://konlpy.org
nuthttps://github.com/pprett/nut
Rosettahttps://github.com/columbia-applied-data-science/rosetta
BLLIP Parserhttps://pypi.python.org/pypi/bllipparser/
PyNLPlhttps://github.com/proycon/pynlpl
FoLiAhttp://proycon.github.io/folia/
python-uctohttps://github.com/proycon/python-ucto
python-froghttps://github.com/proycon/python-frog
python-zparhttps://github.com/EducationalTestingService/python-zpar
ZParhttps://github.com/frcchang/zpar
colibri-corehttps://github.com/proycon/colibri-core
spaCyhttps://github.com/honnibal/spaCy/
PyStanfordDependencieshttps://github.com/dmcc/PyStanfordDependencies
Distancehttps://github.com/doukremt/distance
Fuzzy Wuzzyhttps://github.com/seatgeek/fuzzywuzzy
jellyfishhttps://github.com/jamesturk/jellyfish
editdistancehttps://pypi.python.org/pypi/editdistance
textacyhttps://github.com/chartbeat-labs/textacy
stanford-corenlp-pythonhttps://github.com/dasmith/stanford-corenlp-python
Stanford CoreNLPhttps://github.com/stanfordnlp/CoreNLP
CLTKhttps://github.com/cltk/cltk
rasa_nluhttps://github.com/golastmile/rasa_nlu
yasehttps://github.com/PPACI/yase
Polyglothttps://github.com/aboSamoor/polyglot
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-20
auto_mlhttps://github.com/ClimbsRocks/auto_ml
machine learninghttps://github.com/jeff1evesque/machine-learning
web-interfacehttps://github.com/jeff1evesque/machine-learning#web-interface
programmatic-interfacehttps://github.com/jeff1evesque/machine-learning#programmatic-interface
XGBoosthttps://github.com/dmlc/xgboost
Bayesian Methods for Hackershttps://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Featureforgehttps://github.com/machinalis/featureforge
MLlib in Apache Sparkhttp://spark.apache.org/docs/latest/mllib-guide.html
Hydrosphere Misthttps://github.com/Hydrospheredata/mist
scikit-learnhttp://scikit-learn.org/
metric-learnhttps://github.com/all-umass/metric-learn
SimpleAIhttps://github.com/simpleai-team/simpleai
astroMLhttp://www.astroml.org/
graphlab-createhttps://turi.com/products/create/docs/
BigMLhttps://bigml.com
patternhttps://github.com/clips/pattern
NuPIChttps://github.com/numenta/nupic
Pylearn2https://github.com/lisa-lab/pylearn2
Theanohttps://github.com/Theano/Theano
kerashttps://github.com/fchollet/keras
Theanohttps://github.com/Theano/Theano
Lasagnehttps://github.com/Lasagne/Lasagne
hebelhttps://github.com/hannes-brt/hebel
Chainerhttps://github.com/pfnet/chainer
prophethttps://facebookincubator.github.io/prophet
gensimhttps://github.com/RaRe-Technologies/gensim
topikhttps://github.com/ContinuumIO/topik
PyBrainhttps://github.com/pybrain/pybrain
Brainstormhttps://github.com/IDSIA/brainstorm
Crabhttps://github.com/muricoca/crab
python-recsyshttps://github.com/ocelma/python-recsys
thinking bayeshttps://github.com/AllenDowney/ThinkBayes
Image-to-Image Translation with Conditional Adversarial Networkshttps://github.com/williamFalcon/pix2pix-keras
isola et alhttps://arxiv.org/pdf/1611.07004.pdf
Restricted Boltzmann Machineshttps://github.com/echen/restricted-boltzmann-machines
Bolthttps://github.com/pprett/bolt
CoverTreehttps://github.com/patvarilly/CoverTree
nilearnhttps://github.com/nilearn/nilearn
imbalanced-learnhttp://contrib.scikit-learn.org/imbalanced-learn/
Shogunhttps://github.com/shogun-toolbox/shogun
Pyevolvehttps://github.com/perone/Pyevolve
Caffehttp://caffe.berkeleyvision.org
brezehttps://github.com/breze-no-salt/breze
pyhsmmhttps://github.com/mattjj/pyhsmm
mrjobhttps://pythonhosted.org/mrjob/
SKLLhttps://github.com/EducationalTestingService/skll
neurolabhttps://github.com/zueve/neurolab
https://github.com/zueve/neurolabhttps://github.com/zueve/neurolab
Spearminthttps://github.com/JasperSnoek/spearmint
Peblhttps://github.com/abhik/pebl/
Theanohttps://github.com/Theano/Theano/
TensorFlowhttps://github.com/tensorflow/tensorflow/
yahmmhttps://github.com/jmschrei/yahmm/
python-timblhttps://github.com/proycon/python-timbl
deaphttps://github.com/deap/deap
pydeephttps://github.com/andersbll/deeppy
mlxtendhttps://github.com/rasbt/mlxtend
neonhttps://github.com/NervanaSystems/neon
high-performancehttps://github.com/soumith/convnet-benchmarks
Optunityhttp://optunity.readthedocs.io/en/latest/
Neural Networks and Deep Learninghttps://github.com/mnielsen/neural-networks-and-deep-learning
Annoyhttps://github.com/spotify/annoy
skflowhttps://github.com/tensorflow/skflow
TPOThttps://github.com/rhiever/tpot
pgmpyhttps://github.com/pgmpy/pgmpy
DIGITShttps://github.com/NVIDIA/DIGITS
Orangehttp://orange.biolab.si/
MXNethttps://github.com/dmlc/mxnet
milkhttps://github.com/luispedro/milk
TFLearnhttps://github.com/tflearn/tflearn
REPhttps://github.com/yandex/rep
rgf_pythonhttps://github.com/fukatani/rgf_python
skbayeshttps://github.com/AmazaspShumik/sklearn-bayes
fuku-mlhttps://github.com/fukuball/fuku-ml
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-9
SciPyhttp://www.scipy.org/
NumPyhttp://www.numpy.org/
Numbahttp://numba.pydata.org/
NetworkXhttps://networkx.github.io/
igraphhttp://igraph.org/python/
Pandashttp://pandas.pydata.org/
Open Mininghttps://github.com/mining/mining
PyMChttps://github.com/pymc-devs/pymc
ziplinehttps://github.com/quantopian/zipline
PyDyhttp://www.pydy.org/
SymPyhttps://github.com/sympy/sympy
statsmodelshttps://github.com/statsmodels/statsmodels
astropyhttp://www.astropy.org/
matplotlibhttp://matplotlib.org/
bokehhttps://github.com/bokeh/bokeh
plotlyhttps://plot.ly/python/
vincenthttps://github.com/wrobstory/vincent
d3pyhttps://github.com/mikedewar/d3py
D3.jshttps://d3js.org/
PyDexterhttps://github.com/D3xterjs/pydexter
ggplothttps://github.com/yhat/ggpy
ggfortifyhttps://github.com/sinhrks/ggfortify
Kartograph.pyhttps://github.com/kartograph/kartograph.py
pygalhttp://pygal.org/en/stable/
PyQtGraphhttps://github.com/pyqtgraph/pyqtgraph
pycascadinghttps://github.com/twitter/pycascading
Petrelhttps://github.com/AirSage/Petrel
Blazehttps://github.com/blaze/blaze
emceehttps://github.com/dfm/emcee
windMLhttp://www.windml.org
vispyhttps://github.com/vispy/vispy
cerebro2https://github.com/numenta/nupic.cerebro2
NuPIC Studiohttps://github.com/htm-community/nupic.studio
SparklingPandashttps://github.com/sparklingpandas/sparklingpandas
Seabornhttp://seaborn.pydata.org/
bqplothttps://github.com/bloomberg/bqplot
pastaloghttps://github.com/rewonc/pastalog
caravelhttps://github.com/airbnb/superset
Dorahttps://github.com/nathanepstein/dora
Ruffushttp://www.ruffus.org.uk
SOMPYhttps://github.com/sevamoo/SOMPY
somocluhttps://github.com/peterwittek/somoclu
HDBScanhttps://github.com/lmcinnes/hdbscan
visualize_MLhttps://github.com/ayush1997/visualize_ML
scikit-plothttps://github.com/reiinakano/scikit-plot
Bowtiehttps://github.com/jwkvam/bowtie
https://github.com/SortedArray/awesome-machine-learning#misc-scripts--ipython-notebooks--codebases
BioPyhttps://github.com/jaredthecoder/BioPy
pattern_classificationhttps://github.com/rasbt/pattern_classification
thinking stats 2https://github.com/Wavelets/ThinkStats2
hyperopthttps://github.com/hyperopt/hyperopt-sklearn
numpichttps://github.com/numenta/nupic
2012-paper-diginormhttps://github.com/dib-lab/2012-paper-diginorm
A gallery of interesting IPython notebookshttps://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks
ipython-notebookshttps://github.com/ogrisel/notebooks
data-science-ipython-notebookshttps://github.com/donnemartin/data-science-ipython-notebooks
decision-weightshttps://github.com/CamDavidsonPilon/decision-weights
Sarah Palin LDAhttps://github.com/Wavelets/sarah-palin-lda
Diffusion Segmentationhttps://github.com/Wavelets/diffusion-segmentation
Scipy Tutorialshttps://github.com/Wavelets/scipy-tutorials
Crabhttps://github.com/marcelcaraciolo/crab
BayesPyhttps://github.com/maxsklar/BayesPy
scikit-learn tutorialshttps://github.com/GaelVaroquaux/scikit-learn-tutorial
sentiment-analyzerhttps://github.com/madhusudancs/sentiment-analyzer
sentiment_classifierhttps://github.com/kevincobain2000/sentiment_classifier
group-lassohttps://github.com/fabianp/group_lasso
jProcessinghttps://github.com/kevincobain2000/jProcessing
mne-python-notebookshttps://github.com/mne-tools/mne-python-notebooks
Neon Coursehttps://github.com/NervanaSystems/neon_course
pandas cookbookhttps://github.com/jvns/pandas-cookbook
climinhttps://github.com/BRML/climin
Allen Downey’s Data Science Coursehttps://github.com/AllenDowney/DataScience
Allen Downey’s Think Bayes Codehttps://github.com/AllenDowney/ThinkBayes
Allen Downey’s Think Complexity Codehttps://github.com/AllenDowney/ThinkComplexity
Allen Downey’s Think OS Codehttps://github.com/AllenDowney/ThinkOS
Python Programming for the Humanitieshttp://www.karsdorp.io/python-course/
GreatCirclehttps://github.com/mwgg/GreatCircle
Optunity exampleshttp://optunity.readthedocs.io/en/latest/notebooks/index.html
Dive into Machine Learning with Python Jupyter notebook and scikit-learnhttps://github.com/hangtwenty/dive-into-machine-learning
TDBhttps://github.com/ericjang/tdb
Suironhttps://github.com/kendricktan/suiron/
Introduction to machine learning with scikit-learnhttps://github.com/justmarkham/scikit-learn-videos
Practical XGBoost in Pythonhttp://education.parrotprediction.teachable.com/p/practical-xgboost-in-python
https://github.com/SortedArray/awesome-machine-learning#neural-networks
NeuralTalkhttps://github.com/karpathy/neuraltalk
Neuronhttps://github.com/molcik/python-neuron
Data Driven Codehttps://github.com/atmb4u/data-driven-code
https://github.com/SortedArray/awesome-machine-learning#kaggle-competition-source-code
wiki challengehttps://github.com/hammer/wikichallenge
kaggle insultshttps://github.com/amueller/kaggle_insults
kaggle_acquire-valued-shoppers-challengehttps://github.com/MLWave/kaggle_acquire-valued-shoppers-challenge
kaggle-cifarhttps://github.com/zygmuntz/kaggle-cifar
kaggle-blackboxhttps://github.com/zygmuntz/kaggle-blackbox
kaggle-accelerometerhttps://github.com/zygmuntz/kaggle-accelerometer
kaggle-advertised-salarieshttps://github.com/zygmuntz/kaggle-advertised-salaries
kaggle amazonhttps://github.com/zygmuntz/kaggle-amazon
kaggle-bestbuy_bighttps://github.com/zygmuntz/kaggle-bestbuy_big
kaggle-bestbuy_smallhttps://github.com/zygmuntz/kaggle-bestbuy_small
Kaggle Dogs vs. Catshttps://github.com/kastnerkyle/kaggle-dogs-vs-cats
Kaggle Galaxy Challengehttps://github.com/benanne/kaggle-galaxies
Kaggle Genderhttps://github.com/zygmuntz/kaggle-gender
Kaggle Merckhttps://github.com/zygmuntz/kaggle-merck
Kaggle Stackoverflowhttps://github.com/zygmuntz/kaggle-stackoverflow
kaggle_acquire-valued-shoppers-challengehttps://github.com/MLWave/kaggle_acquire-valued-shoppers-challenge
wine-qualityhttps://github.com/zygmuntz/wine-quality
https://github.com/SortedArray/awesome-machine-learning#reinforcement-learning
DeepMind Labhttps://github.com/deepmind/lab
Gymhttps://github.com/openai/gym
Universehttps://github.com/openai/universe
ViZDoomhttps://github.com/mwydmuch/ViZDoom
https://github.com/SortedArray/awesome-machine-learning#ruby
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-11
Awesome NLP with Rubyhttps://github.com/arbox/nlp-with-ruby
Treathttps://github.com/louismullie/treat
Ruby Linguisticshttps://deveiate.org/projects/Linguistics
Stemmerhttps://github.com/aurelian/ruby-stemmer
Ruby Wordnethttps://deveiate.org/projects/Ruby-WordNet/
Raspelhttps://sourceforge.net/projects/raspell/
UEA Stemmerhttps://github.com/ealdent/uea-stemmer
Twitter-text-rbhttps://github.com/twitter/twitter-text-rb
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-21
Awesome Machine Learning with Rubyhttps://github.com/arbox/machine-learning-with-ruby
Ruby Machine Learninghttps://github.com/tsycho/ruby-machine-learning
Machine Learning Rubyhttps://github.com/mizoR/machine-learning-ruby
jRuby Mahouthttps://github.com/vasinov/jruby_mahout
CardMagic-Classifierhttps://github.com/cardmagic/classifier
rb-libsvmhttps://github.com/febeling/rb-libsvm
Random Foresterhttps://github.com/asafschers/random_forester
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-10
rsrubyhttps://github.com/alexgutteridge/rsruby
data-visualization-rubyhttps://github.com/chrislo/data_visualisation_ruby
ruby-plothttps://www.ruby-toolbox.com/projects/ruby-plot
plot-rbhttps://github.com/zuhao/plotrb
scruffyhttp://www.rubyinside.com/scruffy-a-beautiful-graphing-toolkit-for-ruby-194.html
SciRubyhttp://sciruby.com/
Gleanhttps://github.com/glean/glean
Biorubyhttps://github.com/bioruby/bioruby
Arelhttps://github.com/nkallen/arel
https://github.com/SortedArray/awesome-machine-learning#misc-1
Big Data For Chimpshttps://github.com/infochimps-labs/big_data_for_chimps
Listofhttps://github.com/kevincobain2000/listof
Demo/Search for a listhttp://kevincobain2000.github.io/listof/
https://github.com/SortedArray/awesome-machine-learning#rust
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-22
deeplearn-rshttps://github.com/tedsta/deeplearn-rs
rustlearnhttps://github.com/maciejkula/rustlearn
rusty-machinehttps://github.com/AtheMathmo/rusty-machine
leafhttps://github.com/autumnai/leaf
[Deprecated]https://medium.com/@mjhirn/tensorflow-wins-89b78b29aafb#.s0a3uy4cc
RustNNhttps://github.com/jackm321/RustNN
https://github.com/SortedArray/awesome-machine-learning#r
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-23
ahazhttp://cran.r-project.org/web/packages/ahaz/index.html
aruleshttp://cran.r-project.org/web/packages/arules/index.html
biglassohttps://cran.r-project.org/web/packages/biglasso/index.html
bigrfhttp://cran.r-project.org/web/packages/bigrf/index.html
bigRRhttp://cran.r-project.org/web/packages/bigRR/index.html
bmrmhttp://cran.r-project.org/web/packages/bmrm/index.html
Borutahttp://cran.r-project.org/web/packages/Boruta/index.html
bsthttp://cran.r-project.org/web/packages/bst/index.html
C50http://cran.r-project.org/web/packages/C50/index.html
carethttp://caret.r-forge.r-project.org/
caretEnsemblehttp://cran.r-project.org/web/packages/caretEnsemble/index.html
Clever Algorithms For Machine Learninghttps://github.com/jbrownlee/CleverAlgorithmsMachineLearning
CORElearnhttp://cran.r-project.org/web/packages/CORElearn/index.html
CoxBoosthttp://cran.r-project.org/web/packages/CoxBoost/index.html
Cubisthttp://cran.r-project.org/web/packages/Cubist/index.html
e1071http://cran.r-project.org/web/packages/e1071/index.html
earthhttp://cran.r-project.org/web/packages/earth/index.html
elasticnethttp://cran.r-project.org/web/packages/elasticnet/index.html
ElemStatLearnhttp://cran.r-project.org/web/packages/ElemStatLearn/index.html
evtreehttp://cran.r-project.org/web/packages/evtree/index.html
forecasthttp://cran.r-project.org/web/packages/forecast/index.html
forecastHybridhttp://cran.r-project.org/web/packages/forecastHybrid/index.html
fpchttp://cran.r-project.org/web/packages/fpc/index.html
frbshttp://cran.r-project.org/web/packages/frbs/index.html
GAMBoosthttp://cran.r-project.org/web/packages/GAMBoost/index.html
gamboostLSShttp://cran.r-project.org/web/packages/gamboostLSS/index.html
gbmhttp://cran.r-project.org/web/packages/gbm/index.html
glmnethttp://cran.r-project.org/web/packages/glmnet/index.html
glmpathhttp://cran.r-project.org/web/packages/glmpath/index.html
GMMBoosthttp://cran.r-project.org/web/packages/GMMBoost/index.html
grplassohttp://cran.r-project.org/web/packages/grplasso/index.html
grpreghttp://cran.r-project.org/web/packages/grpreg/index.html
h2ohttp://cran.r-project.org/web/packages/h2o/index.html
hdahttp://cran.r-project.org/web/packages/hda/index.html
Introduction to Statistical Learninghttp://www-bcf.usc.edu/~gareth/ISL/
ipredhttp://cran.r-project.org/web/packages/ipred/index.html
kernlabhttp://cran.r-project.org/web/packages/kernlab/index.html
klaRhttp://cran.r-project.org/web/packages/klaR/index.html
larshttp://cran.r-project.org/web/packages/lars/index.html
lasso2http://cran.r-project.org/web/packages/lasso2/index.html
LiblineaRhttp://cran.r-project.org/web/packages/LiblineaR/index.html
LogicReghttp://cran.r-project.org/web/packages/LogicReg/index.html
Machine Learning For Hackershttps://github.com/johnmyleswhite/ML_for_Hackers
maptreehttp://cran.r-project.org/web/packages/maptree/index.html
mboosthttp://cran.r-project.org/web/packages/mboost/index.html
medleyhttps://www.kaggle.com/forums/f/15/kaggle-forum/t/3661/medley-a-new-r-package-for-blending-regression-models?forumMessageId=21278
mlrhttp://cran.r-project.org/web/packages/mlr/index.html
mvparthttp://cran.r-project.org/web/packages/mvpart/index.html
ncvreghttp://cran.r-project.org/web/packages/ncvreg/index.html
nnethttp://cran.r-project.org/web/packages/nnet/index.html
oblique.treehttp://cran.r-project.org/web/packages/oblique.tree/index.html
pamrhttp://cran.r-project.org/web/packages/pamr/index.html
partyhttp://cran.r-project.org/web/packages/party/index.html
partykithttp://cran.r-project.org/web/packages/partykit/index.html
penalizedhttp://cran.r-project.org/web/packages/penalized/index.html
penalizedLDAhttp://cran.r-project.org/web/packages/penalizedLDA/index.html
penalizedSVMhttp://cran.r-project.org/web/packages/penalizedSVM/index.html
quantregForesthttp://cran.r-project.org/web/packages/quantregForest/index.html
randomForesthttp://cran.r-project.org/web/packages/randomForest/index.html
randomForestSRChttp://cran.r-project.org/web/packages/randomForestSRC/index.html
rattlehttp://cran.r-project.org/web/packages/rattle/index.html
rdahttp://cran.r-project.org/web/packages/rda/index.html
rdetoolshttp://cran.r-project.org/web/packages/rdetools/index.html
REEMtreehttp://cran.r-project.org/web/packages/REEMtree/index.html
relaxohttp://cran.r-project.org/web/packages/relaxo/index.html
rgenoudhttp://cran.r-project.org/web/packages/rgenoud/index.html
rgphttp://cran.r-project.org/web/packages/rgp/index.html
Rmalschainshttp://cran.r-project.org/web/packages/Rmalschains/index.html
rminerhttp://cran.r-project.org/web/packages/rminer/index.html
ROCRhttp://cran.r-project.org/web/packages/ROCR/index.html
RoughSetshttp://cran.r-project.org/web/packages/RoughSets/index.html
rparthttp://cran.r-project.org/web/packages/rpart/index.html
RPMMhttp://cran.r-project.org/web/packages/RPMM/index.html
RSNNShttp://cran.r-project.org/web/packages/RSNNS/index.html
RWekahttp://cran.r-project.org/web/packages/RWeka/index.html
RXshrinkhttp://cran.r-project.org/web/packages/RXshrink/index.html
sdahttp://cran.r-project.org/web/packages/sda/index.html
SDDAhttp://cran.r-project.org/web/packages/SDDA/index.html
SuperLearnerhttps://github.com/ecpolley/SuperLearner
subsemblehttp://cran.r-project.org/web/packages/subsemble/index.html
svmpathhttp://cran.r-project.org/web/packages/svmpath/index.html
tgphttp://cran.r-project.org/web/packages/tgp/index.html
treehttp://cran.r-project.org/web/packages/tree/index.html
varSelRFhttp://cran.r-project.org/web/packages/varSelRF/index.html
XGBoost.Rhttps://github.com/tqchen/xgboost/tree/master/R-package
Optunityhttp://optunity.readthedocs.io/en/latest/
igraphhttp://igraph.org/r/
MXNethttps://github.com/dmlc/mxnet
TDSP-Utilitieshttps://github.com/Azure/Azure-TDSP-Utilities
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-11
ggplot2http://ggplot2.org/
https://github.com/SortedArray/awesome-machine-learning#sas
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-24
Enterprise Minerhttps://www.sas.com/en_us/software/enterprise-miner.html
Factory Minerhttps://www.sas.com/en_us/software/factory-miner.html
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-12
SAS/STAThttps://www.sas.com/en_us/software/analytics/stat.html
University Editionhttps://www.sas.com/en_us/software/university-edition.html
https://github.com/SortedArray/awesome-machine-learning#high-performance-machine-learning
High Performance Data Mininghttps://www.sas.com/en_us/software/analytics/high-performance-data-mining.html
High Performance Text Mininghttps://www.sas.com/en_us/software/analytics/high-performance-text-mining.html
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-12
Contextual Analysishttps://www.sas.com/en_us/software/analytics/contextual-analysis.html
Sentiment Analysishttps://www.sas.com/en_us/software/analytics/sentiment-analysis.html
Text Minerhttps://www.sas.com/en_us/software/analytics/text-miner.html
https://github.com/SortedArray/awesome-machine-learning#demos-and-scripts-1
ML_Tableshttps://github.com/sassoftware/enlighten-apply/tree/master/ML_tables
enlighten-applyhttps://github.com/sassoftware/enlighten-apply
enlighten-integrationhttps://github.com/sassoftware/enlighten-integration
enlighten-deephttps://github.com/sassoftware/enlighten-deep
dm-flowhttps://github.com/sassoftware/dm-flow
https://github.com/SortedArray/awesome-machine-learning#scala
https://github.com/SortedArray/awesome-machine-learning#natural-language-processing-13
ScalaNLPhttp://www.scalanlp.org/
Breezehttps://github.com/scalanlp/breeze
Chalkhttps://github.com/scalanlp/chalk
FACTORIEhttps://github.com/factorie/factorie
Montaguehttps://github.com/Workday/upshot-montague
https://github.com/SortedArray/awesome-machine-learning#data-analysis--data-visualization-13
MLlib in Apache Sparkhttp://spark.apache.org/docs/latest/mllib-guide.html
Hydrosphere Misthttps://github.com/Hydrospheredata/mist
Scaldinghttps://github.com/twitter/scalding
Summing Birdhttps://github.com/twitter/summingbird
Algebirdhttps://github.com/twitter/algebird
xerialhttps://github.com/xerial/xerial
PredictionIOhttps://github.com/apache/incubator-predictionio
BIDMathttps://github.com/BIDData/BIDMat
Flinkhttp://flink.apache.org/
Spark Notebookhttp://spark-notebook.io
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-25
Conjecturehttps://github.com/etsy/Conjecture
brushfirehttps://github.com/stripe/brushfire
ganithahttps://github.com/tresata/ganitha
adamhttps://github.com/bigdatagenomics/adam
bioscalahttps://github.com/bioscala/bioscala
BIDMachhttps://github.com/BIDData/BIDMach
Figarohttps://github.com/p2t2/figaro
H2O Sparkling Waterhttps://github.com/h2oai/sparkling-water
FlinkML in Apache Flinkhttps://ci.apache.org/projects/flink/flink-docs-master/apis/batch/libs/ml/index.html
DynaMLhttps://github.com/transcendent-ai-labs/DynaML
Saulhttps://github.com/IllinoisCogComp/saul/
SwiftLearnerhttps://github.com/valdanylchuk/swiftlearner/
Smilehttp://haifengl.github.io/smile/
https://github.com/SortedArray/awesome-machine-learning#swift
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-26
Benderhttps://github.com/xmartlabs/Bender
Swift AIhttps://github.com/collinhundley/Swift-AI
BrainCorehttps://github.com/aleph7/BrainCore
swixhttps://github.com/stsievert/swix
DeepLearningKithttp://deeplearningkit.org/
AIToolboxhttps://github.com/KevinCoble/AIToolbox
MLKithttps://github.com/Somnibyte/MLKit
Swift Brainhttps://github.com/vlall/Swift-Brain
Perfect TensorFlowhttps://github.com/PerfectlySoft/Perfect-TensorFlow
Awesome CoreMLhttps://github.com/NilStack/awesome-CoreML-models
https://github.com/SortedArray/awesome-machine-learning#tensorflow
https://github.com/SortedArray/awesome-machine-learning#general-purpose-machine-learning-27
Awesome TensorFlowhttps://github.com/jtoy/awesome-tensorflow
https://github.com/SortedArray/awesome-machine-learning#credits
vintahttps://github.com/vinta/awesome-python
this pagehttps://github.com/golang/go/wiki/Projects
Readme https://github.com/SortedArray/awesome-machine-learning#readme-ov-file
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