Scikit-learn
Scikit-learn Python library is one of the development and practice of machine learning, relies on Scipy and related libraries to run.
Scikit-learn the basic functions are divided into six categories: classification, regression, clustering, data reduction, model selection, data processing. It should be noted that, due to Scikit-learn itself does not support deep learning, does not support GPU acceleration, therefore Scikit-learn for Multilayer Perceptron (MLP) neural network to achieve is not suited to handle large-scale problems. (Scikit-learn support for MLP increased after version 0.18).
Scikit-learn compared to other projects seem to be more conservative, mainly reflected in:
1, Scikit-learn never do other extensions in addition to the field of machine learning
2, Scikit-learn algorithm without using never-proven
