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neat-python

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Project Summary

Analyzed 4 days ago based on code collected 4 days ago.

AboutNEAT (NeuroEvolution of Augmenting Topologies) is a method for evolving arbitrary neural networks developed by Kenneth O. Stanley. This project aims to implement NEAT in the Python programming language.

For further information regarding general concepts and theory, please visit: Selected Publications in Stanley's website.

TestingIf you want to try neat-python, please check out from the subversion repository. This project is still in development and not totally bug free. However, you can start playing with the XOR example and then create your own experiment.

Tags

python neuralnetworks geneticalgorithms neat evolution

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Project Links:: Homepage
Code Locations:: http://neat-python.googlecode.co...
Licenses:: GPL-3.0+
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In a Nutshell, neat-python...

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has had 284 commits made by 2 contributors
representing 3,195 lines of code
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is mostly written in Python
with an average number of source code comments
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has a codebase with a long source history
maintained by nobody
with decreasing Y-O-Y commits
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took an estimated 1 years of effort (COCOMO model)
starting with its first commit in September, 2007
ending with its most recent commit over 1 year ago

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Python	68%
C++	32%

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30 Day Summary May 16 2013 — Jun 15 2013

0 Commits
0 Contributors

12 Month Summary Jun 15 2012 — Jun 15 2013

0 Commits Down -1 (100%) from previous 12 months
0 Contributors Down -1 (100%) from previous 12 months

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Copyright ^© 2013 Black Duck Software, Inc. and its contributors, Some Rights Reserved. Unless otherwise marked, this work is licensed under a Creative Commons Attribution 3.0 Unported License . Ohloh ^® and the Ohloh logo are trademarks of Black Duck Software, Inc. in the United States and/or other jurisdictions. All other trademarks are the property of their respective holders.