PyBrain Machine Learning Library

[Juergen Schmidhuber]

The PyBrain Machine Learning Library http://pybrain.org 

just got published in the JMLR open source track. PyBrain is 

written in Python, with strong emphasis on reinforcement learning

and optimization, but also supervised and unsupervised learning,
in particular, methods for recurrent networks with and without teachers.
Many of the algorithms cannot be found in other libraries. PyBrain 

also features standard benchmarks and visualization tools.

Full list of features: http://www.pybrain.org/pages/features
Video of PyBrain in action (with examples of robot learning): 

http://www.youtube.com/watch?v=fEM7YDNonSE

Mailing list: http://groups.google.com/group/pybrain
All other information (source, documentation, etc.): 

http://www.pybrain.org

Core PyBrain developers (in alphabetical order):
Justin Bayer, Martin Felder, Thomas Rückstieß,
Tom Schaul, Frank Sehnke, Daan Wierstra

We are always looking for motivated contributors.
Post feedback or feature requests on github:
http://github.com/pybrain/pybrain/issues

Reference:
T. Schaul, J. Bayer, D. Wierstra, S. Yi, M. Felder,
F. Sehnke, T. Rückstieß, J. Schmidhuber:   PyBrain. 

Journal of Machine Learning Research, 11:743-746, 2010.

Jobs: http://www.idsia.ch/~juergen/sn2010.html

Jürgen Schmidhuber
http://www.idsia.ch/~juergen/whatsnew.html