Table 2.
Machine learning libraries in languages [8].
Language | Traditional machine learning libraries | Deep neural network machine learning libraries |
---|---|---|
Python | Scikit-learn, PyBrain, Nilearn, Pattern, MILK, Mixtend | Keras, Tensorflow (written in both C++ and Python), Nolearn, DeePy, Pylearn2 |
R | Caret, Boruta, GMMBoost, H2O, KlaR, rminer | Darch, DeepNet |
C++ | Shogun | Caffe, EBLearn, Intel Deep learning Framework, Tensorflow (written in both C++ and Python) |
Java | Encog, Spark, Mahout, MALLET, Weka | Deeplearning4j |
JavaScript | Cluster, LDA, Node-SVM | ConvnetJS |