Project details for PyBrain

Logo JMLR PyBrain 0.3

by bayerj - March 3, 2010, 15:00:08 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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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
URL: Project Homepage
JMLR MLOSS PaperURL: JMLR-MLOSS Paper Homepage
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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