NEAT PyGenetics

An easily trainable NN for general purposes.

This is currently an amateur implementation of NEAT for general purposes. It follows the concepts of some paper somewhere. To get started with the code, please visit the wiki, or take a look at the documentation.

Visit the wiki

Getting started

Unfortunately, the backend for NEAT isn't quite finished yet. If you want to contribute, contact us to see where you could help with the development.

State of Development

The code base for is nearly finished and is undergoing testing and debugging at the moment. See Testing for more information.

Contact

This repository has 3 active maintainers at the moment:

  • Noah Hummel, strange.dev@gmail.com
  • yeldiRium, yeldiR@web.de
  • Vivian Franz