TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT

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

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

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

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.

C++ ES-HyperNEAT algorithm implementation

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

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

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

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

My thougths, ideas and research of neuroevolution

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

HyperNEAT experiment for the River Crossing Task

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