Table 3:
Libraries ML/DL | Source | Language |
---|---|---|
MICE, rpart, Party, CARET, randomForest, nnet, e1071, KernLab, igraph, glmnet, ROCR, tree, Rweka, earth, klaR, | https://cran.r-project.org/ | R |
Scikit-learn | http://scikit-learn.org/stable/ | Python |
Tensorflow | https://www.tensorflow.org/ | |
Theano | http://deeplearning.net/software/theano | |
Pylearn2, | http://deeplearning.net/software/pylearn2 | |
NuPIC | http://numenta.org/ | |
Caffe | http://caffe.berkeleyvision.org/ | |
PyBrain | http://pybrain.org/ | |
Weka | http://www.cs.waikato.ac.nz/ml/weka/ | Java |
Spark | http://spark.apache.org/ | |
Mallet | http://mallet.cs.umass.edu/ | |
JSAT | https://github.com/EdwardRaff/JSAT | |
ELKI | http://elki.dbs.ifi.lmu.de/ | |
Java-ML | http://java-ml.sourceforge.net/ | |
Accord | http://accord-framework.net/ | C#, C++, C |
Multiboost | http://www.multiboost.org/ | |
Shogun | http://shogun-toolbox.org/ | |
LibSVM | http://www.csie.ntu.edu.tw/∼cjlin/libsvm/ | |
mlpack | http://mlpack.org/ | |
Shark | http://image.diku.dk/shark/ | |
MLC++ | http://www.sgi.com/tech/mlc/source.html |