About

NEAT (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.

Testing

If 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.