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<rss version="2.0" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>mloss.org PyBrain</title><link>http://mloss.org</link><description>Updates and additions to PyBrain</description><language>en</language><lastBuildDate>Wed, 03 Mar 2010 15:00:08 -0000</lastBuildDate><item><title>PyBrain 0.3</title><link>http://mloss.org/software/view/156/</link><description>&lt;html&gt;&lt;p&gt;PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easy-to-use yet still powerful algorithms for machine learning tasks, including a variety of predefined environments and benchmarks to test and compare algorithms. Implemented algorithms include Long Short-Term Memory (LSTM), policy gradient methods, (multidimensional) recurrent neural networks and evolution strategies like CMA-ES, NES or FEM.
&lt;/p&gt;&lt;/html&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Daan Wierstra, Justin Bayer, Tom Schaul, Martin Felder, Frank Sehnke, Thomas Rueckstiess</dc:creator><pubDate>Wed, 03 Mar 2010 15:00:08 -0000</pubDate><comments>http://mloss.org/software/rss/comments/156</comments><guid>http://mloss.org/software/view/156/</guid><category>optimization</category><category>evolution</category><category>lstm</category><category>mlp</category><category>policy gradients</category><category>rnn</category><category>icml2010</category></item></channel></rss>