https://github.com/codereclaimers/neat-python

Python implementation of the NEAT neuroevolution algorithm
https://github.com/codereclaimers/neat-python

neuroevolution python

Last synced: 8 months ago
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Python implementation of the NEAT neuroevolution algorithm

• Host: GitHub
• URL: https://github.com/codereclaimers/neat-python
• Owner: CodeReclaimers
• License: bsd-3-clause
• Created: 2015-09-26T22:59:53.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2024-05-23T14:34:59.000Z (over 1 year ago)
• Last Synced: 2025-05-13T10:58:35.489Z (8 months ago)
• Topics: neuroevolution, python
• Language: Python
• Homepage:
• Size: 2.15 MB
• Stars: 1,479
• Watchers: 72
• Forks: 504
• Open Issues: 132
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff

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README

          
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## About ##

NEAT (NeuroEvolution of Augmenting Topologies) is a method developed by Kenneth O. Stanley for evolving arbitrary neural

networks. This project is a pure-Python implementation of NEAT with no dependencies beyond the standard library. It was

forked from the excellent project by @MattKallada.

For further information regarding general concepts and theory, please see the 

[Selected Publications](http://www.cs.ucf.edu/~kstanley/#publications) on Stanley's page at the University of Central 

Florida (now somewhat dated), or the [publications page](https://www.kenstanley.net/papers) of his current website.

`neat-python` is licensed under the [3-clause BSD license](https://opensource.org/licenses/BSD-3-Clause).  It is

currently only supported on Python 3.6 through 3.11, and pypy3.

## 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 is available on [Read The Docs](http://neat-python.readthedocs.io).

## Citing ##

Here are APA and Bibtex entries you can use to cite this project in a publication. The listed authors are the originators

and/or maintainers of all iterations of the project up to this point.  If you have contributed and would like your name added 

to the citation, please submit an issue or email alan@codereclaimers.com.

APA

```

McIntyre, A., Kallada, M., Miguel, C. G., Feher de Silva, C., & Netto, M. L. neat-python [Computer software]

```

Bibtex

```

@software{McIntyre_neat-python,

author = {McIntyre, Alan and Kallada, Matt and Miguel, Cesar G. and Feher de Silva, Carolina and Netto, Marcio Lobo},

title = {{neat-python}}

}

```

## Thank you! ##

Many thanks to the folks who have [cited this repository](https://scholar.google.com/scholar?start=0&hl=en&as_sdt=5,34&sciodt=0,34&cites=15315010889003730796&scipsc=) in their own work.