A C++17 library to Evolve (via NEAT and HyperNEAT) / train small Neural Networks.

ES-HyperNEAT Python implementation with C++ computations for NeuroEvolution, Reinforcement Learning and VfMRI

The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.

Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.

TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT

A unofficial julia implementation of the DeepHyperNEAT system for evolving neural networks. Written in julia by Gabriel Diaz, developed by Felix Sosa and Kenneth Stanley (all credit goes to them and all blame to me). See paper: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf and original code: https://github.com/flxsosa/DeepHyperNEAT

C++ ES-HyperNEAT algorithm implementation

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

An implementation of NeuroEvolution of Augmenting Topologies, and its later iteration HyperNEAT.

This repository contains the code for the paper: Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning

Improved version of FaydSpeare/NEAT (Neuroevolution of Augmenting Topologies) with Persistent Innovation Numbers. Includes HyperNEAT package.

Implementation of SharpNEAT in Unity 2020. Full refactor of the UnityNEAT project.

HyperNEAT experiment for the River Crossing Task

I need a better brain, so I code one. EDIT: Turns out this brain is even slower than mine

My thougths, ideas and research of neuroevolution