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https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning
naive-aplhttps://github.com/mattcunningham/naive-apl
https://github.com/Ultimate-Learning/awesome-machine-learning#c
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-1
Darknethttps://github.com/pjreddie/darknet
Recommenderhttps://github.com/GHamrouni/Recommender
Hybrid Recommender Systemhttps://github.com/SeniorSA/hybrid-rs-trainner
neonrvmhttps://github.com/siavashserver/neonrvm
cONNXrhttps://github.com/alrevuelta/cONNXr
libonnxhttps://github.com/xboot/libonnx
https://github.com/Ultimate-Learning/awesome-machine-learning#computer-vision
CCVhttps://github.com/liuliu/ccv
VLFeathttp://www.vlfeat.org/
https://github.com/Ultimate-Learning/awesome-machine-learning#c-1
https://github.com/Ultimate-Learning/awesome-machine-learning#computer-vision-1
DLibhttp://dlib.net/imaging.html
EBLearnhttp://eblearn.sourceforge.net/
OpenCVhttps://opencv.org
VIGRAhttps://github.com/ukoethe/vigra
Openposehttps://github.com/CMU-Perceptual-Computing-Lab/openpose
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-2
BanditLibhttps://github.com/jkomiyama/banditlib
Caffehttps://github.com/BVLC/caffe
CatBoosthttps://github.com/catboost/catboost
CNTKhttps://github.com/Microsoft/CNTK
CUDAhttps://code.google.com/p/cuda-convnet/
DeepDetecthttps://github.com/jolibrain/deepdetect
Distributed Machine learning Tool Kit (DMTK)http://www.dmtk.io/
DLibhttp://dlib.net/ml.html
DSSTNEhttps://github.com/amznlabs/amazon-dsstne
DyNethttps://github.com/clab/dynet
Fidohttps://github.com/FidoProject/Fido
igraphhttp://igraph.org/
Intel® oneAPI Data Analytics Libraryhttps://github.com/oneapi-src/oneDAL
LightGBMhttps://github.com/Microsoft/LightGBM
libfmhttps://github.com/srendle/libfm
MLDBhttps://mldb.ai
mlpackhttps://www.mlpack.org/
MXNethttps://github.com/apache/incubator-mxnet
ParaMontehttps://github.com/cdslaborg/paramonte
herehttps://www.cdslab.org/paramonte/
proNet-corehttps://github.com/cnclabs/proNet-core
PyCUDAhttps://mathema.tician.de/software/pycuda/
ROOThttps://root.cern.ch
sharkhttp://image.diku.dk/shark/sphinx_pages/build/html/index.html
Shogunhttps://github.com/shogun-toolbox/shogun
sofia-mlhttps://code.google.com/archive/p/sofia-ml
Stanhttp://mc-stan.org/
Timblhttps://languagemachines.github.io/timbl/
Vowpal Wabbit (VW)https://github.com/VowpalWabbit/vowpal_wabbit
Warp-CTChttps://github.com/baidu-research/warp-ctc
XGBoosthttps://github.com/dmlc/xgboost
ThunderGBMhttps://github.com/Xtra-Computing/thundergbm
ThunderSVMhttps://github.com/Xtra-Computing/thundersvm
LKYDeepNNhttps://github.com/mosdeo/LKYDeepNN
xLearnhttps://github.com/aksnzhy/xlearn
Featuretoolshttps://github.com/featuretools/featuretools
skynethttps://github.com/Tyill/skynet
Feasthttps://github.com/gojek/feast
Hopsworkshttps://github.com/logicalclocks/hopsworks
Polyaxonhttps://github.com/polyaxon/polyaxon
QuestDBhttps://questdb.io/
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing
BLLIP Parserhttps://github.com/BLLIP/bllip-parser
colibri-corehttps://github.com/proycon/colibri-core
CRF++https://taku910.github.io/crfpp/
CRFsuitehttp://www.chokkan.org/software/crfsuite/
froghttps://github.com/LanguageMachines/frog
libfoliahttps://github.com/LanguageMachines/libfolia
FoLiA formathttps://proycon.github.io/folia/
MeTAhttps://github.com/meta-toolkit/meta
MeTA : ModErn Text Analysishttps://meta-toolkit.org/
MIT Information Extraction Toolkithttps://github.com/mit-nlp/MITIE
uctohttps://github.com/LanguageMachines/ucto
https://github.com/Ultimate-Learning/awesome-machine-learning#speech-recognition
Kaldihttps://github.com/kaldi-asr/kaldi
https://github.com/Ultimate-Learning/awesome-machine-learning#sequence-analysis
ToPShttps://github.com/ayoshiaki/tops
https://github.com/Ultimate-Learning/awesome-machine-learning#gesture-detection
grthttps://github.com/nickgillian/grt
https://github.com/Ultimate-Learning/awesome-machine-learning#common-lisp
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-3
mglhttps://github.com/melisgl/mgl/
mgl-gprhttps://github.com/melisgl/mgl-gpr/
cl-libsvmhttps://github.com/melisgl/cl-libsvm/
cl-online-learninghttps://github.com/masatoi/cl-online-learning
cl-random-foresthttps://github.com/masatoi/cl-random-forest
https://github.com/Ultimate-Learning/awesome-machine-learning#clojure
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-1
Clojure-openNLPhttps://github.com/dakrone/clojure-opennlp
Infections-cljhttps://github.com/r0man/inflections-clj
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-4
tech.mlhttps://github.com/techascent/tech.ml
clj-mlhttps://github.com/joshuaeckroth/clj-ml/
clj-boosthttps://gitlab.com/alanmarazzi/clj-boost
Touchstonehttps://github.com/ptaoussanis/touchstone
Clojushhttps://github.com/lspector/Clojush
lambda-mlhttps://github.com/cloudkj/lambda-ml
Inferhttps://github.com/aria42/infer
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
https://github.com/Ultimate-Learning/awesome-machine-learning#deep-learning
MXNethttps://mxnet.apache.org/versions/1.7.0/api/clojure
Deep Diamondhttps://github.com/uncomplicate/deep-diamond
jutsu.aihttps://github.com/hswick/jutsu.ai
cortexhttps://github.com/originrose/cortex
Flarehttps://github.com/aria42/flare
dl4cljhttps://github.com/yetanalytics/dl4clj
https://github.com/Ultimate-Learning/awesome-machine-learning#data-analysis
tech.ml.datasethttps://github.com/techascent/tech.ml.dataset
Tableclothhttps://github.com/scicloj/tablecloth
Pantherahttps://github.com/alanmarazzi/panthera
Incanterhttp://incanter.org/
PigPenhttps://github.com/Netflix/PigPen
Genihttps://github.com/zero-one-group/geni
https://github.com/Ultimate-Learning/awesome-machine-learning#data-visualization
Hanamihttps://github.com/jsa-aerial/hanami
Saitehttps://github.com/jsa-aerial/saite
Ozhttps://github.com/metasoarous/oz
Envisionhttps://github.com/clojurewerkz/envision
Pink Gorilla Notebookhttps://github.com/pink-gorilla/gorilla-notebook
clojupyterhttps://github.com/clojupyter/clojupyter
notespacehttps://github.com/scicloj/notespace
Delighthttps://github.com/datamechanics/delight
https://github.com/Ultimate-Learning/awesome-machine-learning#interop
Java Interophttps://clojure.org/reference/java_interop
JavaScript Interophttps://clojurescript.org/reference/javascript-api
Libpython-cljhttps://github.com/clj-python/libpython-clj
ClojisRhttps://github.com/scicloj/clojisr
https://github.com/Ultimate-Learning/awesome-machine-learning#misc
Neanderthalhttps://neanderthal.uncomplicate.org/
kixistatshttps://github.com/MastodonC/kixi.stats
fastmathhttps://github.com/generateme/fastmath
matlibhttps://github.com/atisharma/matlib
https://github.com/Ultimate-Learning/awesome-machine-learning#extra
Sciclojhttps://scicloj.github.io/pages/libraries/
https://github.com/Ultimate-Learning/awesome-machine-learning#crystal
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-5
machinehttps://github.com/mathieulaporte/machine
crystal-fannhttps://github.com/NeuraLegion/crystal-fann
https://github.com/Ultimate-Learning/awesome-machine-learning#elixir
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-6
Simple Bayeshttps://github.com/fredwu/simple_bayes
emelhttps://github.com/mrdimosthenis/emel
Tensorflexhttps://github.com/anshuman23/tensorflex
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-2
Stemmerhttps://github.com/fredwu/stemmer
https://github.com/Ultimate-Learning/awesome-machine-learning#erlang
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-7
Discohttps://github.com/discoproject/disco/
https://github.com/Ultimate-Learning/awesome-machine-learning#fortran
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-8
neural-fortranhttps://github.com/modern-fortran/neural-fortran
herehttps://arxiv.org/abs/1902.06714
https://github.com/Ultimate-Learning/awesome-machine-learning#data-analysis--data-visualization
ParaMontehttps://github.com/cdslaborg/paramonte
herehttps://www.cdslab.org/paramonte/
https://github.com/Ultimate-Learning/awesome-machine-learning#go
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-3
snowballhttps://github.com/tebeka/snowball
word-embeddinghttps://github.com/ynqa/word-embedding
sentenceshttps://github.com/neurosnap/sentences
go-ngramhttps://github.com/Lazin/go-ngram
paicehuskhttps://github.com/Rookii/paicehusk
go-porterstemmerhttps://github.com/reiver/go-porterstemmer
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-9
birdlandhttps://github.com/rlouf/birdland
eaopthttps://github.com/MaxHalford/eaopt
leaveshttps://github.com/dmitryikh/leaves
gobrainhttps://github.com/goml/gobrain
go-featureprocessinghttps://github.com/nikolaydubina/go-featureprocessing
go-mxnet-predictorhttps://github.com/songtianyi/go-mxnet-predictor
go-ml-benchmarkshttps://github.com/nikolaydubina/go-ml-benchmarks
go-ml-transpilerhttps://github.com/znly/go-ml-transpiler
golearnhttps://github.com/sjwhitworth/golearn
gomlhttps://github.com/cdipaolo/goml
gorgoniahttps://github.com/gorgonia/gorgonia
gorohttps://github.com/aunum/goro
gorsehttps://github.com/zhenghaoz/gorse
therfoohttps://github.com/therfoo/therfoo
neathttps://github.com/jinyeom/neat
go-prhttps://github.com/daviddengcn/go-pr
go-mlhttps://github.com/alonsovidales/go_ml
GoNNhttps://github.com/fxsjy/gonn
bayesianhttps://github.com/jbrukh/bayesian
go-galibhttps://github.com/thoj/go-galib
Cloudforesthttps://github.com/ryanbressler/CloudForest
go-dnnhttps://github.com/sudachen/go-dnn
https://github.com/Ultimate-Learning/awesome-machine-learning#spatial-analysis-and-geometry
go-geomhttps://github.com/twpayne/go-geom
gogeohttps://github.com/golang/geo
https://github.com/Ultimate-Learning/awesome-machine-learning#data-analysis--data-visualization-1
dataframe-gohttps://github.com/rocketlaunchr/dataframe-go
gotahttps://github.com/go-gota/gota
gonum/mathttps://godoc.org/gonum.org/v1/gonum/mat
gonum/optimizehttps://godoc.org/gonum.org/v1/gonum/optimize
gonum/plothttps://godoc.org/gonum.org/v1/plot
gonum/stathttps://godoc.org/gonum.org/v1/gonum/stat
SVGohttps://github.com/ajstarks/svgo
glothttps://github.com/arafatk/glot
globehttps://github.com/mmcloughlin/globe
gonum/graphhttps://godoc.org/gonum.org/v1/gonum/graph
go-graphhttps://github.com/StepLg/go-graph
RFhttps://github.com/fxsjy/RF.go
https://github.com/Ultimate-Learning/awesome-machine-learning#computer-vision-2
GoCVhttps://github.com/hybridgroup/gocv
https://github.com/Ultimate-Learning/awesome-machine-learning#reinforcement-learning
goldhttps://github.com/aunum/gold
https://github.com/Ultimate-Learning/awesome-machine-learning#haskell
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-10
haskell-mlhttps://github.com/ajtulloch/haskell-ml
HLearnhttps://github.com/mikeizbicki/HLearn
hnnhttps://github.com/alpmestan/HNN
hopfield-networkshttps://github.com/ajtulloch/hopfield-networks
DNNGraphhttps://github.com/ajtulloch/dnngraph
LambdaNethttps://github.com/jbarrow/LambdaNet
https://github.com/Ultimate-Learning/awesome-machine-learning#java
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-4
Cortical.iohttps://www.cortical.io/
IRIShttps://github.com/cortical-io/Iris
Cortical.io'shttps://cortical.io
See the Tutorial Videohttps://www.youtube.com/watch?v=CsF4pd7fGF0
CoreNLPhttps://nlp.stanford.edu/software/corenlp.shtml
Stanford Parserhttps://nlp.stanford.edu/software/lex-parser.shtml
Stanford POS Taggerhttps://nlp.stanford.edu/software/tagger.shtml
Stanford Name Entity Recognizerhttps://nlp.stanford.edu/software/CRF-NER.shtml
Stanford Word Segmenterhttps://nlp.stanford.edu/software/segmenter.shtml
Tregex, Tsurgeon and Semgrexhttps://nlp.stanford.edu/software/tregex.shtml
Stanford Phrasal: A Phrase-Based Translation Systemhttps://nlp.stanford.edu/phrasal/
Stanford English Tokenizerhttps://nlp.stanford.edu/software/tokenizer.shtml
Stanford Tokens Regexhttps://nlp.stanford.edu/software/tokensregex.shtml
Stanford Temporal Taggerhttps://nlp.stanford.edu/software/sutime.shtml
Stanford SPIEDhttps://nlp.stanford.edu/software/patternslearning.shtml
Twitter Text Javahttps://github.com/twitter/twitter-text/tree/master/java
MALLEThttp://mallet.cs.umass.edu/
OpenNLPhttps://opennlp.apache.org/
LingPipehttp://alias-i.com/lingpipe/index.html
ClearTKhttps://github.com/ClearTK/cleartk
Apache cTAKEShttps://ctakes.apache.org/
NLP4Jhttps://github.com/emorynlp/nlp4j
CogcompNLPhttps://github.com/CogComp/cogcomp-nlp
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-11
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/dev/libs/ml/index.html
H2Ohttps://github.com/h2oai/h2o-3
htm.javahttps://github.com/numenta/htm.java
liblinear-javahttps://github.com/bwaldvogel/liblinear-java
Mahouthttps://github.com/apache/mahout
Mekahttp://meka.sourceforge.net/
MLlib in Apache Sparkhttps://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 Classifierhttps://nlp.stanford.edu/software/classifier.shtml
Smilehttps://haifengl.github.io/
SystemMLhttps://github.com/apache/systemml
Wekahttps://www.cs.waikato.ac.nz/ml/weka/
LBJavahttps://github.com/CogComp/lbjava
knn-java-libraryhttps://github.com/felipexw/knn-java-library
https://github.com/Ultimate-Learning/awesome-machine-learning#speech-recognition-1
CMU Sphinxhttps://cmusphinx.github.io
https://github.com/Ultimate-Learning/awesome-machine-learning#data-analysis--data-visualization-2
Flinkhttps://flink.apache.org/
Hadoophttps://github.com/apache/hadoop
Onyxhttps://github.com/onyx-platform/onyx
Sparkhttps://github.com/apache/spark
Stormhttps://storm.apache.org/
Impalahttps://github.com/cloudera/impala
DataMelthttps://jwork.org/dmelt/
Dr. Michael Thomas Flanagan's Java Scientific Libraryhttps://www.ee.ucl.ac.uk/~mflanaga/java/
https://github.com/Ultimate-Learning/awesome-machine-learning#deep-learning-1
Deeplearning4jhttps://github.com/deeplearning4j/deeplearning4j
Keras Beginner Tutorialhttps://victorzhou.com/blog/keras-neural-network-tutorial/
https://github.com/Ultimate-Learning/awesome-machine-learning#javascript
https://github.com/Ultimate-Learning/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/retextjs/retext
NLP Compromisehttps://github.com/spencermountain/compromise
nlp.jshttps://github.com/axa-group/nlp.js
https://github.com/Ultimate-Learning/awesome-machine-learning#data-analysis--data-visualization-3
D3.jshttps://d3js.org/
High Chartshttps://www.highcharts.com/
NVD3.jshttp://nvd3.org/
dc.jshttps://dc-js.github.io/dc.js/
chartjshttps://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.jshttps://c3js.org/
Datamapshttps://datamaps.github.io/
ZingCharthttps://www.zingchart.com/
cheminfohttps://www.cheminfo.org/
visualizerhttps://github.com/npellet/visualizer
Learn JS Datahttp://learnjsdata.com/
AnyCharthttps://www.anychart.com/
FusionChartshttps://www.fusioncharts.com/
Nivohttps://nivo.rocks
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-12
Auto MLhttps://github.com/ClimbsRocks/auto_ml
Convnet.jshttps://cs.stanford.edu/people/karpathy/convnetjs/
Clusterfckhttps://harthur.github.io/clusterfck/
Clustering.jshttps://github.com/emilbayes/clustering.js
Decision Treeshttps://github.com/serendipious/nodejs-decision-tree-id3
DN2Ahttps://github.com/antoniodeluca/dn2a.js
figuehttps://code.google.com/archive/p/figue
Gaussian Mixture Modelhttps://github.com/lukapopijac/gaussian-mixture-model
Node-fannhttps://github.com/rlidwka/node-fann
Keras.jshttps://github.com/transcranial/keras-js
Kmeans.jshttps://github.com/emilbayes/kMeans.js
LDA.jshttps://github.com/primaryobjects/lda
Learning.jshttps://github.com/yandongliu/learningjs
machinelearn.jshttps://github.com/machinelearnjs/machinelearnjs
mil-tokyohttps://github.com/mil-tokyo
Node-SVMhttps://github.com/nicolaspanel/node-svm
Brainhttps://github.com/harthur/brain
Brain.jshttps://github.com/BrainJS/brain.js
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
ml5https://github.com/ml5js/ml5-library
Pavlov.jshttps://github.com/NathanEpstein/Pavlov.js
MXNethttps://github.com/apache/incubator-mxnet
TensorFlow.jshttps://js.tensorflow.org/
JSMLThttps://github.com/jsmlt/jsmlt
visualml.iohttps://visualml.io
xgboost-nodehttps://github.com/nuanio/xgboost-node
Netronhttps://github.com/lutzroeder/netron
tensor-jshttps://github.com/Hoff97/tensorjs
WebDNNhttps://github.com/mil-tokyo/webdnn
https://github.com/Ultimate-Learning/awesome-machine-learning#misc-1
stdlibhttps://github.com/stdlib-js/stdlib
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
MLPleaseHelphttps://github.com/jgreenemi/MLPleaseHelp
https://jgreenemi.github.io/MLPleaseHelp/https://jgreenemi.github.io/MLPleaseHelp/
Pipcookhttps://github.com/alibaba/pipcook
https://github.com/Ultimate-Learning/awesome-machine-learning#demos-and-scripts
The Bothttps://github.com/sta-ger/TheBot
Synaptichttps://github.com/cazala/synaptic
Half Beerhttps://github.com/sta-ger/HalfBeer
Synaptichttps://github.com/cazala/synaptic
NSFWJShttp://nsfwjs.com
Rock Paper Scissorshttps://rps-tfjs.netlify.com/
Heroes Wear Maskshttps://heroeswearmasks.fun/
https://github.com/Ultimate-Learning/awesome-machine-learning#julia
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-13
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
Distanceshttps://github.com/JuliaStats/Distances.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
Gaussian Processeshttps://github.com/STOR-i/GaussianProcesses.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
Kernel Densityhttps://github.com/JuliaStats/KernelDensity.jl
MultivariateStatshttps://github.com/JuliaStats/MultivariateStats.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/apache/incubator-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
Fluxhttps://fluxml.ai/
MLJhttps://github.com/alan-turing-institute/MLJ.jl
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-6
Topic Modelshttps://github.com/slycoder/TopicModels.jl
Text Analysishttps://github.com/JuliaText/TextAnalysis.jl
Word Tokenizershttps://github.com/JuliaText/WordTokenizers.jl
Corpus Loadershttps://github.com/JuliaText/CorpusLoaders.jl
Embeddingshttps://github.com/JuliaText/Embeddings.jl
Languageshttps://github.com/JuliaText/Languages.jl
WordNethttps://github.com/JuliaText/WordNet.jl
https://github.com/Ultimate-Learning/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/JuliaData/DataFramesMeta.jl
Julia Datahttps://github.com/nfoti/JuliaData
Data Readhttps://github.com/queryverse/ReadStat.jl
Hypothesis Testshttps://github.com/JuliaStats/HypothesisTests.jl
Gadflyhttps://github.com/GiovineItalia/Gadfly.jl
Statshttps://github.com/JuliaStats/StatsKit.jl
RDataSetshttps://github.com/johnmyleswhite/RDatasets.jl
DataFrameshttps://github.com/JuliaData/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/Ultimate-Learning/awesome-machine-learning#misc-stuff--presentations
DSPhttps://github.com/JuliaDSP/DSP.jl
JuliaCon Presentationshttps://github.com/JuliaCon/presentations
SignalProcessinghttps://github.com/JuliaDSP/DSP.jl
Imageshttps://github.com/JuliaImages/Images.jl
DataDepshttps://github.com/oxinabox/DataDeps.jl
https://github.com/Ultimate-Learning/awesome-machine-learning#lua
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-14
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
signalhttps://github.com/soumith/torch-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
spaghettihttps://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
wav2letterhttps://github.com/facebookresearch/wav2letter
Numeric Luahttp://numlua.luaforge.net/
Lunatic Pythonhttps://labix.org/lunatic-python
SciLuahttp://scilua.org/
Lua - Numerical Algorithmshttps://bitbucket.org/lucashnegri/lna
Lunumhttps://github.com/jzrake/lunum
https://github.com/Ultimate-Learning/awesome-machine-learning#demos-and-scripts-1
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/Ultimate-Learning/awesome-machine-learning#matlab
https://github.com/Ultimate-Learning/awesome-machine-learning#computer-vision-3
Contourletshttp://www.ifp.illinois.edu/~minhdo/software/contourlet_toolbox.tar
Shearletshttps://www3.math.tu-berlin.de/numerik/www.shearlab.org/software
Curveletshttp://www.curvelet.org/software.html
Bandletshttp://www.cmap.polytechnique.fr/~peyre/download/
mexopencvhttps://kyamagu.github.io/mexopencv/
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-7
NLPhttps://amplab.cs.berkeley.edu/an-nlp-library-for-matlab/
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-15
Training a deep autoencoder or a classifier on MNIST digitshttps://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html
Convolutional-Recursive Deep Learning for 3D Object Classificationhttps://www.socher.org/index.php/Main/Convolutional-RecursiveDeepLearningFor3DObjectClassification
Spiderhttps://people.kyb.tuebingen.mpg.de/spider/
LibSVMhttps://www.csie.ntu.edu.tw/~cjlin/libsvm/#matlab
ThunderSVMhttps://github.com/Xtra-Computing/thundersvm
LibLinearhttps://www.csie.ntu.edu.tw/~cjlin/liblinear/#download
Machine Learning Modulehttps://github.com/josephmisiti/machine-learning-module
Caffehttps://github.com/BVLC/caffe
Pattern Recognition Toolboxhttps://github.com/covartech/PRT
Pattern Recognition and Machine Learninghttps://github.com/PRML/PRMLT
Optunityhttps://optunity.readthedocs.io/en/latest/
MXNethttps://github.com/apache/incubator-mxnet/
Machine Learning in MatLab/Octavehttps://github.com/trekhleb/machine-learning-octave
https://github.com/Ultimate-Learning/awesome-machine-learning#data-analysis--data-visualization-5
ParaMontehttps://github.com/cdslaborg/paramonte
herehttps://www.cdslab.org/paramonte/
matlab_bglhttps://www.cs.purdue.edu/homes/dgleich/packages/matlab_bgl/
gaimchttps://www.mathworks.com/matlabcentral/fileexchange/24134-gaimc---graph-algorithms-in-matlab-code
https://github.com/Ultimate-Learning/awesome-machine-learning#net
https://github.com/Ultimate-Learning/awesome-machine-learning#computer-vision-4
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/Ultimate-Learning/awesome-machine-learning#natural-language-processing-8
Stanford.NLP for .NEThttps://github.com/sergey-tihon/Stanford.NLP.NET/
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-16
Accord-Frameworkhttp://accord-framework.net/
Accord.MachineLearninghttps://www.nuget.org/packages/Accord.MachineLearning/
DiffSharphttps://diffsharp.github.io/DiffSharp/
Encoghttps://www.nuget.org/packages/encog-dotnet-core/
GeneticSharphttps://github.com/giacomelli/GeneticSharp
Infer.NEThttps://dotnet.github.io/infer/
ML.NEThttps://github.com/dotnet/machinelearning
Neural Network Designerhttps://sourceforge.net/projects/nnd/
Synapseshttps://github.com/mrdimosthenis/Synapses
Vulpeshttps://github.com/fsprojects/Vulpes
MxNet.Sharphttps://github.com/tech-quantum/MxNet.Sharp
https://mxnet.tech-quantum.com/https://mxnet.tech-quantum.com/
https://github.com/Ultimate-Learning/awesome-machine-learning#data-analysis--data-visualization-6
numlhttps://www.nuget.org/packages/numl/
Math.NET Numericshttps://www.nuget.org/packages/MathNet.Numerics/
Shohttps://www.microsoft.com/en-us/research/project/sho-the-net-playground-for-data/
https://github.com/Ultimate-Learning/awesome-machine-learning#objective-c
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-17
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/Ultimate-Learning/awesome-machine-learning#ocaml
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-18
Omlhttps://github.com/rleonid/oml
GPRhttps://mmottl.github.io/gpr/
Libra-Tkhttps://libra.cs.uoregon.edu
TensorFlowhttps://github.com/LaurentMazare/tensorflow-ocaml
https://github.com/Ultimate-Learning/awesome-machine-learning#perl
https://github.com/Ultimate-Learning/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/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-19
MXnet for Deep Learning, in Perlhttps://github.com/apache/incubator-mxnet/tree/master/perl-package
released in CPANhttps://metacpan.org/pod/AI::MXNet
Perl Data Languagehttps://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/Ultimate-Learning/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/Ultimate-Learning/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/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-20
https://github.com/Ultimate-Learning/awesome-machine-learning#php
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-9
jieba-phphttps://github.com/fukuball/jieba-php
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-21
PHP-MLhttps://gitlab.com/php-ai/php-ml
PredictionBuilderhttps://github.com/denissimon/prediction-builder
Rubix MLhttps://github.com/RubixML
19 Questionshttps://github.com/fulldecent/19-questions
https://github.com/Ultimate-Learning/awesome-machine-learning#python
https://github.com/Ultimate-Learning/awesome-machine-learning#computer-vision-5
Scikit-Imagehttps://github.com/scikit-image/scikit-image
Scikit-Opthttps://github.com/guofei9987/scikit-opt
SimpleCVhttp://simplecv.org/
Vigranumpyhttps://github.com/ukoethe/vigra
OpenFacehttps://cmusatyalab.github.io/openface/
PCVhttps://github.com/jesolem/PCV
face_recognitionhttps://github.com/ageitgey/face_recognition
dockerfacehttps://github.com/natanielruiz/dockerface
Detectronhttps://github.com/facebookresearch/Detectron
detectron2https://github.com/facebookresearch/detectron2
albumentationshttps://github.com/albu/albumentations
pytessarcthttps://github.com/madmaze/pytesseract
Google's Tesseract-OCR Enginehttps://github.com/tesseract-ocr/tesseract
imutilshttps://github.com/jrosebr1/imutils
PyTorchCVhttps://github.com/donnyyou/PyTorchCV
Self-supervised learninghttps://pytorch-lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html
neural-style-pthttps://github.com/ProGamerGov/neural-style-pt
Detectohttps://github.com/alankbi/detecto
neural-dreamhttps://github.com/ProGamerGov/neural-dream
Openposehttps://github.com/CMU-Perceptual-Computing-Lab/openpose
Deep High-Resolution-Nethttps://github.com/leoxiaobin/deep-high-resolution-net.pytorch
dream-creatorhttps://github.com/ProGamerGov/dream-creator
Lucenthttps://github.com/greentfrapp/lucent
lightlyhttps://github.com/lightly-ai/lightly
Learnergyhttps://github.com/gugarosa/learnergy
OpenVisionAPIhttps://github.com/openvisionapi
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-10
pkuseg-pythonhttps://github.com/lancopku/pkuseg-python
NLTKhttps://www.nltk.org/
Patternhttps://github.com/clips/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/tasdikrahman/spammy
losohttps://github.com/fangpenlin/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.org/project/bllipparser/
PyNLPlhttps://github.com/proycon/pynlpl
FoLiAhttps://proycon.github.io/folia/
PySS3https://github.com/sergioburdisso/pyss3
online demoshttp://tworld.io/ss3/
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/explosion/spaCy
PyStanfordDependencieshttps://github.com/dmcc/PyStanfordDependencies
Distancehttps://github.com/doukremt/distance
Fuzzy Wuzzyhttps://github.com/seatgeek/fuzzywuzzy
jellyfishhttps://github.com/jamesturk/jellyfish
editdistancehttps://pypi.org/project/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
Rasahttps://github.com/RasaHQ/rasa
yasehttps://github.com/PPACI/yase
Polyglothttps://github.com/aboSamoor/polyglot
DrQAhttps://github.com/facebookresearch/DrQA
Dedupehttps://github.com/dedupeio/dedupe
Snips NLUhttps://github.com/snipsco/snips-nlu
NeuroNERhttps://github.com/Franck-Dernoncourt/NeuroNER
DeepPavlovhttps://github.com/deepmipt/DeepPavlov/
BigARTMhttps://github.com/bigartm/bigartm
NALPhttps://github.com/gugarosa/nalp
DL Translatehttps://github.com/xhlulu/dl-translate
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-22
Microsoft ML for Apache Sparkhttps://github.com/Azure/mmlspark
Shapleyhttps://github.com/benedekrozemberczki/shapley
igelhttps://github.com/nidhaloff/igel
ML Model buildinghttps://github.com/Shanky-21/Machine_learning
ML/DL project templatehttps://github.com/PyTorchLightning/deep-learning-project-template
PyTorch Geometric Temporalhttps://github.com/benedekrozemberczki/pytorch_geometric_temporal
Little Ball of Furhttps://github.com/benedekrozemberczki/littleballoffur
Karate Clubhttps://github.com/benedekrozemberczki/karateclub
Auto_ViMLhttps://github.com/AutoViML/Auto_ViML
Medium articlehttps://towardsdatascience.com/why-automl-is-an-essential-new-tool-for-data-scientists-2d9ab4e25e46?source=friends_link&sk=d03a0cc55c23deb497d546d6b9be0653
PyODhttps://github.com/yzhao062/pyod
steppyhttps://github.com/neptune-ml/steppy
steppy-toolkithttps://github.com/neptune-ml/steppy-toolkit
CNTKhttps://github.com/Microsoft/CNTK
herehttps://docs.microsoft.com/cognitive-toolkit/
Coulerhttps://github.com/couler-proj/couler
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
Apache SINGAhttps://singa.apache.org
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-learnhttps://scikit-learn.org/
metric-learnhttps://github.com/metric-learn/metric-learn
Intel(R) Extension for Scikit-learnhttps://github.com/intel/scikit-learn-intelex
SimpleAIhttps://github.com/simpleai-team/simpleai
astroMLhttps://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/keras-team/keras
TensorFlowhttps://github.com/tensorflow/tensorflow
CNTKhttps://github.com/Microsoft/CNTK
Theanohttps://github.com/Theano/Theano
Lasagnehttps://github.com/Lasagne/Lasagne
hebelhttps://github.com/hannes-brt/hebel
Chainerhttps://github.com/chainer/chainer
prophethttps://facebook.github.io/prophet/
gensimhttps://github.com/RaRe-Technologies/gensim
topikhttps://github.com/ContinuumIO/topik
PyBrainhttps://github.com/pybrain/pybrain
Brainstormhttps://github.com/IDSIA/brainstorm
Surprisehttps://surpriselib.com
implicithttps://implicit.readthedocs.io/en/latest/quickstart.html
LightFMhttps://making.lyst.com/lightfm/docs/home.html
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
neuropredicthttps://github.com/raamana/neuropredict
imbalanced-learnhttps://imbalanced-learn.org/stable/
Shogunhttps://github.com/shogun-toolbox/shogun
Pyevolvehttps://github.com/perone/Pyevolve
Caffehttps://github.com/BVLC/caffe
brezehttps://github.com/breze-no-salt/breze
Cortexhttps://github.com/cortexlabs/cortex
pyhsmmhttps://github.com/mattjj/pyhsmm
SKLLhttps://github.com/EducationalTestingService/skll
neurolabhttps://github.com/zueve/neurolab
Spearminthttps://github.com/HIPS/Spearmint
Peblhttps://github.com/abhik/pebl/
Theanohttps://github.com/Theano/Theano/
TensorFlowhttps://github.com/tensorflow/tensorflow/
pomegranatehttps://github.com/jmschrei/pomegranate
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
Optunityhttps://optunity.readthedocs.io/en/latest/
Neural Networks and Deep Learninghttps://github.com/mnielsen/neural-networks-and-deep-learning
Annoyhttps://github.com/spotify/annoy
TPOThttps://github.com/EpistasisLab/tpot
pgmpyhttps://github.com/pgmpy/pgmpy
DIGITShttps://github.com/NVIDIA/DIGITS
Orangehttps://orange.biolab.si/
MXNethttps://github.com/apache/incubator-mxnet
milkhttps://github.com/luispedro/milk
TFLearnhttps://github.com/tflearn/tflearn
REPhttps://github.com/yandex/rep
rgf_pythonhttps://github.com/RGF-team/rgf
skbayeshttps://github.com/AmazaspShumik/sklearn-bayes
fuku-mlhttps://github.com/fukuball/fuku-ml
Xcessivhttps://github.com/reiinakano/xcessiv
PyTorchhttps://github.com/pytorch/pytorch
PyTorch Lightninghttps://github.com/PyTorchLightning/pytorch-lightning
PyTorch Lightning Boltshttps://github.com/PyTorchLightning/pytorch-lightning-bolts
skorchhttps://github.com/skorch-dev/skorch
ML-From-Scratchhttps://github.com/eriklindernoren/ML-From-Scratch
Edwardhttp://edwardlib.org/
xRBMhttps://github.com/omimo/xRBM
CatBoosthttps://github.com/catboost/catboost
stacked_generalizationhttps://github.com/fukatani/stacked_generalization
modALhttps://github.com/modAL-python/modAL
Cogitarehttps://github.com/cogitare-ai/cogitare
Parrishttps://github.com/jgreenemi/Parris
neonrvmhttps://github.com/siavashserver/neonrvm
Turi Createhttps://github.com/apple/turicreate
xLearnhttps://github.com/aksnzhy/xlearn
mlenshttps://github.com/flennerhag/mlens
Netronhttps://github.com/lutzroeder/netron
Thampihttps://github.com/scoremedia/thampi
MindsDBhttps://github.com/mindsdb/mindsdb
Microsoft Recommendershttps://github.com/Microsoft/Recommenders
StellarGraphhttps://github.com/stellargraph/stellargraph
BentoMLhttps://github.com/bentoml/bentoml
MiraiMLhttps://github.com/arthurpaulino/miraiml
numpy-MLhttps://github.com/ddbourgin/numpy-ml
Neuraxlehttps://github.com/Neuraxio/Neuraxle
Cornachttps://github.com/PreferredAI/cornac
JAXhttps://github.com/google/jax
Catalysthttps://github.com/catalyst-team/catalyst
Fastaihttps://github.com/fastai/fastai
scikit-multiflowhttps://github.com/scikit-multiflow/scikit-multiflow
Lightwoodhttps://github.com/mindsdb/lightwood
bayesohttps://github.com/jungtaekkim/bayeso
mljar-supervisedhttps://github.com/mljar/mljar-supervised
evostrahttps://github.com/alirezamika/evostra
Determinedhttps://github.com/determined-ai/determined
PySyfthttps://github.com/OpenMined/PySyft
PyGridhttps://github.com/OpenMined/PyGrid/
sktimehttps://github.com/alan-turing-institute/sktime
OPFythonhttps://github.com/gugarosa/opfython
Opytimizerhttps://github.com/gugarosa/opytimizer
Gradiohttps://github.com/gradio-app/gradio
Hubhttps://github.com/activeloopai/Hub
activeloop.aihttps://activeloop.ai
Synthiahttps://github.com/dmey/synthia
ByteHubhttps://github.com/bytehub-ai/bytehub
Backprophttps://github.com/backprop-ai/backprop
Riverhttps://github.com/online-ml/river
FEDOThttps://github.com/nccr-itmo/FEDOT
Sklearn-genetic-opthttps://github.com/rodrigo-arenas/Sklearn-genetic-opt
Evidentlyhttps://github.com/evidentlyai/evidently
https://github.com/Ultimate-Learning/awesome-machine-learning#data-analysis--data-visualization-9
DataVisualizationhttps://github.com/Shanky-21/Data_visualization
Cartopyhttps://scitools.org.uk/cartopy/docs/latest/
SciPyhttps://www.scipy.org/
NumPyhttps://www.numpy.org/
AutoVizhttps://github.com/AutoViML/AutoViz
Medium articlehttps://towardsdatascience.com/autoviz-a-new-tool-for-automated-visualization-ec9c1744a6ad?source=friends_link&sk=c9e9503ec424b191c6096d7e3f515d10
Numbahttps://numba.pydata.org/
Marshttps://github.com/mars-project/mars
NetworkXhttps://networkx.github.io/
igraphhttps://igraph.org/python/
Pandashttps://pandas.pydata.org/
ParaMontehttps://github.com/cdslaborg/paramonte
herehttps://www.cdslab.org/paramonte/
Open Mininghttps://github.com/mining/mining
PyMChttps://github.com/pymc-devs/pymc
ziplinehttps://github.com/quantopian/zipline
PyDyhttps://www.pydy.org/
SymPyhttps://github.com/sympy/sympy
statsmodelshttps://github.com/statsmodels/statsmodels
astropyhttps://www.astropy.org/
matplotlibhttps://matplotlib.org/
bokehhttps://github.com/bokeh/bokeh
plotlyhttps://plot.ly/python/
altairhttps://github.com/altair-viz/altair
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
windMLhttps://github.com/cigroup-ol/windml
vispyhttps://github.com/vispy/vispy
cerebro2https://github.com/numenta/nupic.cerebro2
NuPIC Studiohttps://github.com/htm-community/nupic.studio
SparklingPandashttps://github.com/sparklingpandas/sparklingpandas
Seabornhttps://seaborn.pydata.org/
bqplothttps://github.com/bloomberg/bqplot
pastaloghttps://github.com/rewonc/pastalog
Supersethttps://github.com/apache/incubator-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
limehttps://github.com/marcotcr/lime
PyCMhttps://github.com/sepandhaghighi/pycm
Dashhttps://github.com/plotly/dash
Lambdohttps://github.com/asavinov/lambdo
TensorWatchhttps://github.com/microsoft/tensorwatch
dowelhttps://github.com/rlworkgroup/dowel
https://github.com/Ultimate-Learning/awesome-machine-learning#misc-scripts--ipython-notebooks--codebases
MiniGradhttps://github.com/kennysong/minigrad
Map/Reduce implementations of common ML algorithmshttps://github.com/Yannael/BigDataAnalytics_INFOH515
BioPyhttps://github.com/jaredthecoder/BioPy
CAEs for Data Assimilationhttps://github.com/julianmack/Data_Assimilation
Data Assimilationhttps://en.wikipedia.org/wiki/Data_assimilation
SVM Explorerhttps://github.com/plotly/dash-svm
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/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-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 Humanitieshttps://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 Pythonhttps://parrotprediction.teachable.com/p/practical-xgboost-in-python
Introduction to Machine Learning with Pythonhttps://github.com/amueller/introduction_to_ml_with_python
Pydata bookhttps://github.com/wesm/pydata-book
Homemade Machine Learninghttps://github.com/trekhleb/homemade-machine-learning
Prodmodelhttps://github.com/prodmodel/prodmodel
the-elements-of-statistical-learninghttps://github.com/maitbayev/the-elements-of-statistical-learning
Hyperparameter-Optimization-of-Machine-Learning-Algorithmshttps://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
https://github.com/Ultimate-Learning/awesome-machine-learning#neural-networks
nn_builderhttps://github.com/p-christ/nn_builder
NeuralTalkhttps://github.com/karpathy/neuraltalk
Neuronhttps://github.com/molcik/python-neuron
NeuralTalkhttps://github.com/karpathy/neuraltalk2
Neuronhttps://github.com/molcik/python-neuron
Data Driven Codehttps://github.com/atmb4u/data-driven-code
Machine Learning, Data Science and Deep Learning with Pythonhttps://www.manning.com/livevideo/machine-learning-data-science-and-deep-learning-with-python
TResNet: High Performance GPU-Dedicated Architecturehttps://github.com/mrT23/TResNet
TResNet: Simple and powerful neural network library for pythonhttps://github.com/zueve/neurolab
Jina AIhttps://jina.ai/
sequiturhttps://github.com/shobrook/sequitur
https://github.com/Ultimate-Learning/awesome-machine-learning#kaggle-competition-source-code
open-solution-home-credithttps://github.com/neptune-ml/open-solution-home-credit
experiments resultshttps://app.neptune.ml/neptune-ml/Home-Credit-Default-Risk
Home Credit Default Riskhttps://www.kaggle.com/c/home-credit-default-risk
open-solution-googleai-object-detectionhttps://github.com/neptune-ml/open-solution-googleai-object-detection
experiments resultshttps://app.neptune.ml/neptune-ml/Google-AI-Object-Detection-Challenge
Google AI Open Images - Object Detection Trackhttps://www.kaggle.com/c/google-ai-open-images-object-detection-track
open-solution-salt-identificationhttps://github.com/neptune-ml/open-solution-salt-identification
experiments resultshttps://app.neptune.ml/neptune-ml/Salt-Detection
TGS Salt Identification Challengehttps://www.kaggle.com/c/tgs-salt-identification-challenge
open-solution-ship-detectionhttps://github.com/neptune-ml/open-solution-ship-detection
experiments resultshttps://app.neptune.ml/neptune-ml/Ships
Airbus Ship Detection Challengehttps://www.kaggle.com/c/airbus-ship-detection
open-solution-data-science-bowl-2018https://github.com/neptune-ml/open-solution-data-science-bowl-2018
experiments resultshttps://app.neptune.ml/neptune-ml/Data-Science-Bowl-2018
2018 Data Science Bowlhttps://www.kaggle.com/c/data-science-bowl-2018
open-solution-value-predictionhttps://github.com/neptune-ml/open-solution-value-prediction
experiments resultshttps://app.neptune.ml/neptune-ml/Santander-Value-Prediction-Challenge
Santander Value Prediction Challengehttps://www.kaggle.com/c/santander-value-prediction-challenge
open-solution-toxic-commentshttps://github.com/neptune-ml/open-solution-toxic-comments
Toxic Comment Classification Challengehttps://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
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/Ultimate-Learning/awesome-machine-learning#reinforcement-learning-1
DeepMind Labhttps://github.com/deepmind/lab
Gymhttps://github.com/openai/gym
Serpent.AIhttps://github.com/SerpentAI/SerpentAI
ViZDoomhttps://github.com/mwydmuch/ViZDoom
Roboschoolhttps://github.com/openai/roboschool
Retrohttps://github.com/openai/retro
SLM Labhttps://github.com/kengz/SLM-Lab
Coachhttps://github.com/NervanaSystems/coach
garagehttps://github.com/rlworkgroup/garage
metaworldhttps://github.com/rlworkgroup/metaworld
acmehttps://deepmind.com/research/publications/Acme
Spinning Uphttps://spinningup.openai.com
Mazehttps://github.com/enlite-ai/maze
https://github.com/Ultimate-Learning/awesome-machine-learning#ruby
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-11
Awesome NLP with Rubyhttps://github.com/arbox/nlp-with-ruby
Treathttps://github.com/louismullie/treat
Stemmerhttps://github.com/aurelian/ruby-stemmer
Raspellhttps://sourceforge.net/projects/raspell/
UEA Stemmerhttps://github.com/ealdent/uea-stemmer
Twitter-text-rbhttps://github.com/twitter/twitter-text/tree/master/rb
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-23
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
Scorubyhttps://github.com/asafschers/scoruby
rumalehttps://github.com/yoshoku/rumale
https://github.com/Ultimate-Learning/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
scruffyhttps://github.com/delano/scruffy
SciRubyhttp://sciruby.com/
Gleanhttps://github.com/glean/glean
Biorubyhttps://github.com/bioruby/bioruby
Arelhttps://github.com/nkallen/arel
https://github.com/Ultimate-Learning/awesome-machine-learning#misc-2
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/Ultimate-Learning/awesome-machine-learning#rust
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-24
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
RusticSOMhttps://github.com/avinashshenoy97/RusticSOM
https://github.com/Ultimate-Learning/awesome-machine-learning#r
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-25
ahazhttps://cran.r-project.org/web/packages/ahaz/index.html
aruleshttps://cran.r-project.org/web/packages/arules/index.html
biglassohttps://cran.r-project.org/web/packages/biglasso/index.html
bmrmhttps://cran.r-project.org/web/packages/bmrm/index.html
Borutahttps://cran.r-project.org/web/packages/Boruta/index.html
bsthttps://cran.r-project.org/web/packages/bst/index.html
C50https://cran.r-project.org/web/packages/C50/index.html
carethttps://topepo.github.io/caret/index.html
caretEnsemblehttps://cran.r-project.org/web/packages/caretEnsemble/index.html
CatBoosthttps://github.com/catboost/catboost
Clever Algorithms For Machine Learninghttps://machinelearningmastery.com/
CORElearnhttps://cran.r-project.org/web/packages/CORElearn/index.html
CoxBoosthttps://cran.r-project.org/web/packages/CoxBoost/index.html
Cubisthttps://cran.r-project.org/web/packages/Cubist/index.html
e1071https://cran.r-project.org/web/packages/e1071/index.html
earthhttps://cran.r-project.org/web/packages/earth/index.html
elasticnethttps://cran.r-project.org/web/packages/elasticnet/index.html
ElemStatLearnhttps://cran.r-project.org/web/packages/ElemStatLearn/index.html
evtreehttps://cran.r-project.org/web/packages/evtree/index.html
forecasthttps://cran.r-project.org/web/packages/forecast/index.html
forecastHybridhttps://cran.r-project.org/web/packages/forecastHybrid/index.html
fpchttps://cran.r-project.org/web/packages/fpc/index.html
frbshttps://cran.r-project.org/web/packages/frbs/index.html
GAMBoosthttps://cran.r-project.org/web/packages/GAMBoost/index.html
gamboostLSShttps://cran.r-project.org/web/packages/gamboostLSS/index.html
gbmhttps://cran.r-project.org/web/packages/gbm/index.html
glmnethttps://cran.r-project.org/web/packages/glmnet/index.html
glmpathhttps://cran.r-project.org/web/packages/glmpath/index.html
GMMBoosthttps://cran.r-project.org/web/packages/GMMBoost/index.html
grplassohttps://cran.r-project.org/web/packages/grplasso/index.html
grpreghttps://cran.r-project.org/web/packages/grpreg/index.html
h2ohttps://cran.r-project.org/web/packages/h2o/index.html
hdahttps://cran.r-project.org/web/packages/hda/index.html
Introduction to Statistical Learninghttps://www-bcf.usc.edu/~gareth/ISL/
ipredhttps://cran.r-project.org/web/packages/ipred/index.html
kernlabhttps://cran.r-project.org/web/packages/kernlab/index.html
klaRhttps://cran.r-project.org/web/packages/klaR/index.html
L0Learnhttps://cran.r-project.org/web/packages/L0Learn/index.html
larshttps://cran.r-project.org/web/packages/lars/index.html
lasso2https://cran.r-project.org/web/packages/lasso2/index.html
LiblineaRhttps://cran.r-project.org/web/packages/LiblineaR/index.html
LogicReghttps://cran.r-project.org/web/packages/LogicReg/index.html
Machine Learning For Hackershttps://github.com/johnmyleswhite/ML_for_Hackers
maptreehttps://cran.r-project.org/web/packages/maptree/index.html
mboosthttps://cran.r-project.org/web/packages/mboost/index.html
medleyhttps://www.kaggle.com/general/3661
mlrhttps://cran.r-project.org/web/packages/mlr/index.html
ncvreghttps://cran.r-project.org/web/packages/ncvreg/index.html
nnethttps://cran.r-project.org/web/packages/nnet/index.html
pamrhttps://cran.r-project.org/web/packages/pamr/index.html
partyhttps://cran.r-project.org/web/packages/party/index.html
partykithttps://cran.r-project.org/web/packages/partykit/index.html
penalizedhttps://cran.r-project.org/web/packages/penalized/index.html
penalizedLDAhttps://cran.r-project.org/web/packages/penalizedLDA/index.html
penalizedSVMhttps://cran.r-project.org/web/packages/penalizedSVM/index.html
quantregForesthttps://cran.r-project.org/web/packages/quantregForest/index.html
randomForesthttps://cran.r-project.org/web/packages/randomForest/index.html
randomForestSRChttps://cran.r-project.org/web/packages/randomForestSRC/index.html
rattlehttps://cran.r-project.org/web/packages/rattle/index.html
rdahttps://cran.r-project.org/web/packages/rda/index.html
rdetoolshttps://cran.r-project.org/web/packages/rdetools/index.html
REEMtreehttps://cran.r-project.org/web/packages/REEMtree/index.html
relaxohttps://cran.r-project.org/web/packages/relaxo/index.html
rgenoudhttps://cran.r-project.org/web/packages/rgenoud/index.html
Rmalschainshttps://cran.r-project.org/web/packages/Rmalschains/index.html
rminerhttps://cran.r-project.org/web/packages/rminer/index.html
ROCRhttps://cran.r-project.org/web/packages/ROCR/index.html
RoughSetshttps://cran.r-project.org/web/packages/RoughSets/index.html
rparthttps://cran.r-project.org/web/packages/rpart/index.html
RPMMhttps://cran.r-project.org/web/packages/RPMM/index.html
RSNNShttps://cran.r-project.org/web/packages/RSNNS/index.html
RWekahttps://cran.r-project.org/web/packages/RWeka/index.html
RXshrinkhttps://cran.r-project.org/web/packages/RXshrink/index.html
sdahttps://cran.r-project.org/web/packages/sda/index.html
spectralGraphTopologyhttps://cran.r-project.org/web/packages/spectralGraphTopology/index.html
SuperLearnerhttps://github.com/ecpolley/SuperLearner
svmpathhttps://cran.r-project.org/web/packages/svmpath/index.html
tgphttps://cran.r-project.org/web/packages/tgp/index.html
treehttps://cran.r-project.org/web/packages/tree/index.html
varSelRFhttps://cran.r-project.org/web/packages/varSelRF/index.html
XGBoost.Rhttps://github.com/tqchen/xgboost/tree/master/R-package
Optunityhttps://optunity.readthedocs.io/en/latest/
igraphhttps://igraph.org/r/
MXNethttps://github.com/apache/incubator-mxnet
TDSP-Utilitieshttps://github.com/Azure/Azure-TDSP-Utilities
https://github.com/Ultimate-Learning/awesome-machine-learning#data-manipulation--data-analysis--data-visualization
dplyrhttps://www.rdocumentation.org/packages/dplyr/versions/0.7.8
ggplot2https://ggplot2.tidyverse.org/
tmaphttps://cran.r-project.org/web/packages/tmap/vignettes/tmap-getstarted.html
leaflethttps://rstudio.github.io/leaflet/
tmhttps://www.rdocumentation.org/packages/tm/
quantedahttps://quanteda.io/
shinyhttps://shiny.rstudio.com/
htmlwidgetshttps://www.htmlwidgets.org/
plotlyhttps://plot.ly/r/
dygraphshttp://rstudio.github.io/dygraphs
highcharterhttp://jkunst.com/highcharter/
https://github.com/Ultimate-Learning/awesome-machine-learning#sas
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-26
Visual Data Mining and Machine Learninghttps://www.sas.com/en_us/software/visual-data-mining-machine-learning.html
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/Ultimate-Learning/awesome-machine-learning#data-analysis--data-visualization-11
SAS/STAThttps://www.sas.com/en_us/software/stat.html
University Editionhttps://www.sas.com/en_us/software/university-edition.html
https://github.com/Ultimate-Learning/awesome-machine-learning#natural-language-processing-12
Contextual Analysishttps://www.sas.com/en_us/software/contextual-analysis.html
Sentiment Analysishttps://www.sas.com/en_us/software/sentiment-analysis.html
Text Minerhttps://www.sas.com/en_us/software/text-miner.html
https://github.com/Ultimate-Learning/awesome-machine-learning#demos-and-scripts-2
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/Ultimate-Learning/awesome-machine-learning#scala
https://github.com/Ultimate-Learning/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
Spark NLPhttps://github.com/JohnSnowLabs/spark-nlp
https://github.com/Ultimate-Learning/awesome-machine-learning#data-analysis--data-visualization-12
NDScalahttps://github.com/SciScala/NDScala
MLlib in Apache Sparkhttps://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/predictionio
BIDMathttps://github.com/BIDData/BIDMat
Flinkhttps://flink.apache.org/
Spark Notebookhttp://spark-notebook.io
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-27
Microsoft ML for Apache Sparkhttps://github.com/Azure/mmlspark
ONNX-Scalahttps://github.com/EmergentOrder/onnx-scala
DeepLearning.scalahttps://deeplearning.thoughtworks.school/
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/dev/libs/ml/index.html
DynaMLhttps://github.com/transcendent-ai-labs/DynaML
Saulhttps://github.com/CogComp/saul
SwiftLearnerhttps://github.com/valdanylchuk/swiftlearner/
Smilehttps://haifengl.github.io/
doddle-modelhttps://github.com/picnicml/doddle-model
TensorFlow Scalahttps://github.com/eaplatanios/tensorflow_scala
https://github.com/Ultimate-Learning/awesome-machine-learning#scheme
https://github.com/Ultimate-Learning/awesome-machine-learning#neural-networks-1
layerhttps://github.com/cloudkj/layer
CHICKEN Schemehttps://www.call-cc.org/
https://github.com/Ultimate-Learning/awesome-machine-learning#swift
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-28
Benderhttps://github.com/xmartlabs/Bender
Swift AIhttps://github.com/Swift-AI/Swift-AI
Swift for Tensorflowhttps://github.com/tensorflow/swift
BrainCorehttps://github.com/alejandro-isaza/BrainCore
swixhttps://github.com/stsievert/swix
AIToolboxhttps://github.com/KevinCoble/AIToolbox
MLKithttps://github.com/Somnibyte/MLKit
Swift Brainhttps://github.com/vlall/Swift-Brain
Perfect TensorFlowhttps://github.com/PerfectlySoft/Perfect-TensorFlow
PredictionBuilderhttps://github.com/denissimon/prediction-builder-swift
Awesome CoreMLhttps://github.com/SwiftBrain/awesome-CoreML-models
Awesome Core ML Modelshttps://github.com/likedan/Awesome-CoreML-Models
https://github.com/Ultimate-Learning/awesome-machine-learning#tensorflow
https://github.com/Ultimate-Learning/awesome-machine-learning#general-purpose-machine-learning-29
Awesome TensorFlowhttps://github.com/jtoy/awesome-tensorflow
Golden TensorFlowhttps://golden.com/wiki/TensorFlow
https://github.com/Ultimate-Learning/awesome-machine-learning#tools-1
https://github.com/Ultimate-Learning/awesome-machine-learning#neural-networks-2
layerhttps://github.com/cloudkj/layer
https://github.com/Ultimate-Learning/awesome-machine-learning#misc-3
MLReefhttps://about.mlreef.com/
Pineconehttps://www.pinecone.io/
CatalyzeXhttps://chrome.google.com/webstore/detail/code-finder-for-research/aikkeehnlfpamidigaffhfmgbkdeheil
Chromehttps://chrome.google.com/webstore/detail/code-finder-for-research/aikkeehnlfpamidigaffhfmgbkdeheil
Firefoxhttps://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/
ML Workspacehttps://github.com/ml-tooling/ml-workspace
Notebookshttps://github.com/rlan/notebooks
DVChttps://github.com/iterative/dvc
Kedrohttps://github.com/quantumblacklabs/kedro/
guild.aihttps://guild.ai/
Sacredhttps://github.com/IDSIA/sacred
MLFlowhttps://mlflow.org/
Weights & Biaseshttps://www.wandb.com/
Catalysthttps://github.com/catalyst-team/catalyst
PachydermIOhttps://www.pachyderm.io/
Weights & Biaseshttps://www.wandb.com/
Neptune.Mlhttps://neptune.ml/
Comet.mlhttps://www.comet.ml/
Valohai.aihttps://valohai.com/
DAGsHubhttps://DAGsHub.com/
MachineLearningWithTensorFlow2edhttps://www.manning.com/books/machine-learning-with-tensorflow-second-edition
m2cgenhttps://github.com/BayesWitnesses/m2cgen
CMLhttps://github.com/iterative/cml
Pythonizrhttps://pythonizr.com
Flytehttps://flyte.org/
https://github.com/Ultimate-Learning/awesome-machine-learning#credits
vintahttps://github.com/vinta/awesome-python
gopherdatahttps://github.com/gopherdata/resources/tree/master/tooling
Readme https://github.com/Ultimate-Learning/awesome-machine-learning#readme-ov-file
CC0-1.0 license https://github.com/Ultimate-Learning/awesome-machine-learning#CC0-1.0-1-ov-file
Please reload this pagehttps://github.com/Ultimate-Learning/awesome-machine-learning
Activityhttps://github.com/Ultimate-Learning/awesome-machine-learning/activity
Custom propertieshttps://github.com/Ultimate-Learning/awesome-machine-learning/custom-properties
0 forkshttps://github.com/Ultimate-Learning/awesome-machine-learning/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FUltimate-Learning%2Fawesome-machine-learning&report=Ultimate-Learning+%28user%29
Releaseshttps://github.com/Ultimate-Learning/awesome-machine-learning/releases
Packages 0https://github.com/orgs/Ultimate-Learning/packages?repo_name=awesome-machine-learning
Please reload this pagehttps://github.com/Ultimate-Learning/awesome-machine-learning
Contributorshttps://github.com/Ultimate-Learning/awesome-machine-learning/graphs/contributors
Please reload this pagehttps://github.com/Ultimate-Learning/awesome-machine-learning
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