Implementation of the Neuroevolution of Augmenting Topologies (NEAT) algorithm for training neural networks through a genetic evolution approach. This is a port of the LUA code produced by Seth Bling as made famous through MarI/O video.
Package details |
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Author | Andrew Hunter <a.hunteruk@gmail.com> |
Maintainer | Andrew Hunter <a.hunteruk@gmail.com> |
License | GPL |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
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