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

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

neuroevolution python

Last synced: about 2 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 (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2024-05-23T14:34:59.000Z (4 months ago)
• Last Synced: 2024-07-18T20:28:38.461Z (2 months ago)
• Topics: neuroevolution, python
• Language: Python
• Homepage:
• Size: 2.15 MB
• Stars: 1,391
• Watchers: 74
• Forks: 487
• Open Issues: 128
• 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 [email protected].

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.