pureples

TensorFlow Eager implementation of NEAT and Adaptive 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.

Effect of hidden nodes on the reconstruction of bidirectional networks

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

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

HyperNEAT experiment for the River Crossing Task

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