Connectionists: Pybrain Machine Learning Library

[Schmidhuber Juergen]

Just published:

The Pybrain Machine Learning Library http://pybrain.org ,
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: 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 are (in alphabetical order):
Justin Bayer, Martin Felder, Thomas Rueckstiess,
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. Rueckstiess, J. Schmidhuber.    PyBrain.
Journal of Machine Learning Research  (JMLR), 11:743-746, 2010.

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

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