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

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

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

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

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

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Disrtibuted Machine learning Tool Kit (DMTK)http://www.dmtk.io/
igraphhttp://igraph.org/c/
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mgl-gprhttps://github.com/melisgl/mgl-gpr/
cl-libsvmhttps://github.com/melisgl/cl-libsvm/
Clojure-openNLPhttps://github.com/dakrone/clojure-opennlp
Infections-cljhttps://github.com/r0man/inflections-clj
Touchstonehttps://github.com/ptaoussanis/touchstone
Clojushhttps://github.com/lspector/Clojush
Inferhttps://github.com/aria42/infer
Clj-MLhttps://github.com/antoniogarrote/clj-ml
Encoghttps://github.com/jimpil/enclog
Fungphttps://github.com/vollmerm/fungp
Statistikerhttps://github.com/clojurewerkz/statistiker
clortexhttps://github.com/nupic-community/clortex
comportexhttps://github.com/nupic-community/comportex
cortexhttps://github.com/thinktopic/cortex
lambda-mlhttps://github.com/cloudkj/lambda-ml
Incanterhttp://incanter.org/
PigPenhttps://github.com/Netflix/PigPen
Envisionhttps://github.com/clojurewerkz/envision
Simple Bayeshttps://github.com/fredwu/simple_bayes
Stemmerhttps://github.com/fredwu/stemmer
Discohttps://github.com/discoproject/disco/
go-porterstemmerhttps://github.com/reiver/go-porterstemmer
paicehuskhttps://github.com/Rookii/paicehusk
snowballhttps://bitbucket.org/tebeka/snowball
go-ngramhttps://github.com/Lazin/go-ngram
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-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
aerosolvehttps://github.com/airbnb/aerosolve
Datumboxhttps://github.com/datumbox/datumbox-framework
ELKIhttp://elki.dbs.ifi.lmu.de/
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
Neurophhttp://neuroph.sourceforge.net/
ORYXhttps://github.com/oryxproject/oryx
Samoahttps://samoa.incubator.apache.org/
RankLibhttp://sourceforge.net/p/lemur/wiki/RankLib/
rapaiohttps://github.com/padreati/rapaio
RapidMinerhttp://rapid-i.com/wiki/index.php?title=Integrating_RapidMiner_into_your_application
Stanford Classifierhttp://nlp.stanford.edu/software/classifier.shtml
SmileMinerhttps://github.com/haifengl/smile
SystemMLhttps://github.com/apache/incubator-systemml
WalnutiQhttps://github.com/WalnutiQ/WalnutiQ
Wekahttp://www.cs.waikato.ac.nz/ml/weka/
LBJavahttps://github.com/IllinoisCogComp/lbjava/
https://patch-diff.githubusercontent.com/sateeshgithub/awesome-machine-learning#speech-recognition-2
CMU Sphinxhttp://cmusphinx.sourceforge.net/
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/
Deeplearning4jhttps://github.com/deeplearning4j/deeplearning4j
Twitter-texthttps://github.com/twitter/twitter-text
NLP.jshttps://github.com/nicktesla/nlpjs
naturalhttps://github.com/NaturalNode/natural
Knwl.jshttps://github.com/loadfive/Knwl.js
Retexthttps://github.com/wooorm/retext
TextProcessinghttps://www.mashape.com/japerk/text-processing/support
NLP Compromisehttps://github.com/spencermountain/nlp_compromise
D3.jshttp://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/
amChartshttp://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/
ZingCharthttp://www.zingchart.com/
cheminfohttp://www.cheminfo.org/
visualizerhttps://github.com/npellet/visualizer
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
figuehttp://code.google.com/p/figue/
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
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/dambalah/shaman
ml.jshttps://github.com/mljs/ml
Pavlov.jshttps://github.com/NathanEpstein/Pavlov.js
MXNethttps://github.com/dmlc/mxnet
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
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/dcjones/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
https://github.com/davidavdav/GaussianMixtures.jlhttps://github.com/davidavdav/GaussianMixtures.jl
https://github.com/cstjean/ScikitLearn.jlhttps://github.com/cstjean/ScikitLearn.jl
Knethttps://github.com/denizyuret/Knet.jl
Topic Modelshttps://github.com/slycoder/TopicModels.jl
Text Analysishttps://github.com/johnmyleswhite/TextAnalysis.jl
Graph Layouthttps://github.com/IainNZ/GraphLayout.jl
Data Frames Metahttps://github.com/JuliaStats/DataFramesMeta.jl
Julia Datahttps://github.com/nfoti/JuliaData
Data Readhttps://github.com/WizardMac/DataRead.jl
Hypothesis Testshttps://github.com/JuliaStats/HypothesisTests.jl
Gadflyhttps://github.com/dcjones/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
DSPhttps://github.com/JuliaDSP/DSP.jl
JuliaCon Presentationshttps://github.com/JuliaCon/presentations
SignalProcessinghttps://github.com/davidavdav/SignalProcessing.jl
Imageshttps://github.com/timholy/Images.jl
Torch7http://torch.ch/
cepheshttp://jucor.github.io/torch-cephes
autogradhttps://github.com/twitter/torch-autograd
graphhttps://github.com/torch/graph
randomkithttp://jucor.github.io/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://www.scilua.org/
Lua - Numerical Algorithmshttps://bitbucket.org/lucashnegri/lna
Lunumhttp://zrake.webfactional.com/projects/lunum
Contourletshttp://www.ifp.illinois.edu/~minhdo/software/contourlet_toolbox.tar
Shearletshttp://www.shearlab.org/index_software.html
Curveletshttp://www.curvelet.org/software.html
Bandletshttp://www.cmap.polytechnique.fr/~peyre/download/
mexopencvhttp://kyamagu.github.io/mexopencv/
NLPhttps://amplab.cs.berkeley.edu/2012/05/05/an-nlp-library-for-matlab/
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/newfolder/PRT
Pattern Recognition and Machine Learninghttps://github.com/PRML/PRMLT
Optunityhttp://docs.optunity.net
matlab_gblhttps://www.cs.purdue.edu/homes/dgleich/packages/matlab_bgl/
gamichttp://www.mathworks.com/matlabcentral/fileexchange/24134-gaimc---graph-algorithms-in-matlab-code
OpenCVDotNethttps://code.google.com/p/opencvdotnet/
Emgu CVhttp://www.emgu.com/wiki/index.php/Main_Page
AForge.NEThttp://www.aforgenet.com/framework/
Accord.NEThttp://accord-framework.net
Stanford.NLP for .NEThttps://github.com/sergey-tihon/Stanford.NLP.NET/
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 Designerhttp://bragisoft.com/
numlhttp://www.nuget.org/packages/numl/
Math.NET Numericshttp://www.nuget.org/packages/MathNet.Numerics/
Shohttp://research.microsoft.com/en-us/projects/sho/
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
jieba-phphttps://github.com/fukuball/jieba-php
PHP-MLhttps://github.com/php-ai/php-ml
PredictionBuilderhttps://github.com/denissimon/prediction-builder
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
NLTKhttp://www.nltk.org/
Patternhttp://www.clips.ua.ac.be/pattern
Quepyhttps://github.com/machinalis/quepy
TextBlobhttp://textblob.readthedocs.org/
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
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/avelino/mining
PyMChttps://github.com/pymc-devs/pymc
ziplinehttps://github.com/quantopian/zipline
PyDyhttps://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.jshttp://d3js.org/
PyDexterhttps://github.com/D3xterjs/pydexter
ggplothttps://github.com/yhat/ggplot
ggfortifyhttps://github.com/sinhrks/ggfortify
Kartograph.pyhttps://github.com/kartograph/kartograph.py
pygalhttp://pygal.org/
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/nupic-community/nupic.studio
SparklingPandashttps://github.com/sparklingpandas/sparklingpandas
Seabornhttp://stanford.edu/~mwaskom/software/seaborn/
bqplothttps://github.com/bloomberg/bqplot
pastaloghttps://github.com/rewonc/pastalog
caravelhttps://github.com/airbnb/caravel
Dorahttps://github.com/nathanepstein/dora
Ruffushttp://www.ruffus.org.uk
SOMPYhttps://github.com/sevamoo/SOMPY
HDBScanhttps://github.com/lmcinnes/hdbscan
visualize_MLhttps://github.com/ayush1997/visualize_ML
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
Treathttps://github.com/louismullie/treat
Ruby Linguisticshttp://www.deveiate.org/projects/Linguistics/
Stemmerhttps://github.com/aurelian/ruby-stemmer
Ruby Wordnethttp://www.deveiate.org/projects/Ruby-WordNet/
Raspelhttp://sourceforge.net/projects/raspell/
UEA Stemmerhttps://github.com/ealdent/uea-stemmer
Twitter-text-rbhttps://github.com/twitter/twitter-text-rb
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
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
Big Data For Chimpshttps://github.com/infochimps-labs/big_data_for_chimps
Listofhttps://github.com/kevincobain2000/listof
Demo/Search for a listhttp://listof.herokuapp.com/
ahazhttp://cran.r-project.org/web/packages/ahaz/index.html
aruleshttp://cran.r-project.org/web/packages/arules/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/21278
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nnethttp://cran.r-project.org/web/packages/nnet/index.html
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partykithttp://cran.r-project.org/web/packages/partykit/index.html
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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://docs.optunity.net
igraphhttp://igraph.org/r/
MXNethttps://github.com/dmlc/mxnet
TDSP-Utilitieshttps://github.com/Azure/Azure-TDSP-Utilities
ggplot2http://ggplot2.org/
http://www.sas.com/en_us/software/analytics/enterprise-miner.htmlhttp://www.sas.com/en_us/software/analytics/enterprise-miner.html
http://www.sas.com/en_us/software/analytics/factory-miner.htmlhttp://www.sas.com/en_us/software/analytics/factory-miner.html
http://www.sas.com/en_us/software/analytics/stat.htmlhttp://www.sas.com/en_us/software/analytics/stat.html
http://www.sas.com/en_us/software/university-edition.htmlhttp://www.sas.com/en_us/software/university-edition.html
http://www.sas.com/en_us/software/analytics/high-performance-data-mining.htmlhttp://www.sas.com/en_us/software/analytics/high-performance-data-mining.html
http://www.sas.com/en_us/software/analytics/high-performance-text-mining.htmlhttp://www.sas.com/en_us/software/analytics/high-performance-text-mining.html
http://www.sas.com/en_us/software/analytics/contextual-analysis.htmlhttp://www.sas.com/en_us/software/analytics/contextual-analysis.html
http://www.sas.com/en_us/software/analytics/sentiment-analysis.htmlhttp://www.sas.com/en_us/software/analytics/sentiment-analysis.html
http://www.sas.com/en_us/software/analytics/text-miner.htmlhttp://www.sas.com/en_us/software/analytics/text-miner.html
https://github.com/sassoftware/enlighten-apply/tree/master/ML_tableshttps://github.com/sassoftware/enlighten-apply/tree/master/ML_tables
https://github.com/sassoftware/enlighten-applyhttps://github.com/sassoftware/enlighten-apply
https://github.com/sassoftware/enlighten-integrationhttps://github.com/sassoftware/enlighten-integration
https://github.com/sassoftware/enlighten-deephttps://github.com/sassoftware/enlighten-deep
https://github.com/sassoftware/dm-flowhttps://github.com/sassoftware/dm-flow
ScalaNLPhttp://www.scalanlp.org/
Breezehttps://github.com/scalanlp/breeze
Chalkhttps://github.com/scalanlp/chalk
FACTORIEhttps://github.com/factorie/factorie
MLlib in Apache Sparkhttp://spark.apache.org/docs/latest/mllib-guide.html
Scaldinghttps://github.com/twitter/scalding
Summing Birdhttps://github.com/twitter/summingbird
Algebirdhttps://github.com/twitter/algebird
xerialhttps://github.com/xerial/xerial
simmerhttps://github.com/avibryant/simmer
PredictionIOhttps://github.com/PredictionIO/PredictionIO
BIDMathttps://github.com/BIDData/BIDMat
Wolfehttp://www.wolfe.ml/
Flinkhttp://flink.apache.org/
Spark Notebookhttp://spark-notebook.io
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/mandar2812/DynaML
Saulhttps://github.com/IllinoisCogComp/saul/
SwiftLearnerhttps://github.com/valdanylchuk/swiftlearner/
Swift AIhttps://github.com/collinhundley/Swift-AI
BrainCorehttps://github.com/aleph7/BrainCore
swixhttps://github.com/scottsievert/swix
DeepLearningKithttp://deeplearningkit.org/
AIToolboxhttps://github.com/KevinCoble/AIToolbox
MLKithttps://github.com/Somnibyte/MLKit
Swift Brainhttps://github.com/vlall/Swift-Brain
vintahttps://github.com/vinta/awesome-python
this pagehttps://code.google.com/p/go-wiki/wiki/Projects#Machine_Learning
Readme https://patch-diff.githubusercontent.com/sateeshgithub/awesome-machine-learning#readme-ov-file
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