Description:

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.

Changes to previous version:

• more documentation, including new tutorials
• new and updated example scripts
• major restructuring of the reinforcement learning part
• homogeneous interface for optimization algorithms
• fast networks (arac) are now in an independent package
• new algorithms, network structures, tools...

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: None

Tags: Optimization, Evolution, Lstm, Mlp, Policy Gradients, Rnn, Icml2010

Archive: download here

Other available revisons

Version	Changelog	Date
0.3	more documentation, including new tutorials new and updated example scripts major restructuring of the reinforcement learning part homogeneous interface for optimization algorithms fast networks (arac) are now in an independent package new algorithms, network structures, tools...	November 18, 2009, 19:39:37
0.2	Initial Announcement on mloss.org.	October 15, 2008, 18:58:02

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