There are 3 repositories under deep-neuroevolution topic.
Deep Neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
DNE4py is a python library that aims to run and visualize many different evolutionary algorithms with high performance using mpi4py. It allows easy evaluation of evolutionary algorithms in high dimension (e.g. neural networks for reinforcement learning)
This is repository teaching PyTorch1.0.
Implementation of OpenAI's ES in julia
Analysis of the Application of Genetic Algorithms to Reinforcement Learning
Application of HMS in deep neuroevolution
Deep neuroevolution implemented in numpy
This project solves Gym's Bipedal Walker problem using modified deep neuroevolution.
OpenAI's ES used in a feudal hrl style
A collection of code additions and scripts for Uber AI's Deep Neuroevolution and Atari Zoo