Skip to content

Python implementation of the NEAT neuroevolution algorithm

License

Notifications You must be signed in to change notification settings

ash-anand/neat-python

This branch is 345 commits behind CodeReclaimers/neat-python:master.

Folders and files

NameName
Last commit message
Last commit date
Mar 5, 2017
Mar 27, 2017
Mar 27, 2017
Mar 21, 2017
Dec 13, 2015
Dec 13, 2015
Apr 22, 2016
Jan 11, 2017
Jan 16, 2017
Feb 12, 2017

Repository files navigation

Build Status Code Issues Coverage Status

About

NEAT (NeuroEvolution of Augmenting Topologies) is a method developed by Kenneth O. Stanley for evolving arbitrary neural networks. This project is a Python implementation of NEAT. It was forked from the excellent project by @MattKallada, and is in the process of being updated to provide more features and a (hopefully) simpler and documented API.

For further information regarding general concepts and theory, please see Selected Publications on Stanley's website.

neat-python is licensed under the 3-clause BSD license.

Getting Started

If you want to try neat-python, please check out the repository, start playing with the examples (examples/xor is a good place to start) and then try creating your own experiment.

The documentation, which is still a work in progress, is available on Read The Docs.

About

Python implementation of the NEAT neuroevolution algorithm

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%