Modular toolkit for Data Processing (MDP) is a Python library to perform data processing. Already implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), and Growing Neural Gas (GNG)

MDP has been written for research in neuroscience, but it has been
designed to be helpful in any context where trainable data processing
algorithms are used. Its simplicity on the user side together with the
reusability of the implemented nodes could make it also a valid
educational tool.
Visit MDP’s home page here
MDP has been written by Pietro Berkes and Tiziano Zito at the Institute for Theoretical Biology of the Humboldt University, Berlin.

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