MOFA

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

NSGA-Net, a Neural Architecture Search Algorithm

A bare-bones Python library for quality diversity optimization.

Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.

EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.

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

Adaptable tools to make reinforcement learning and evolutionary computation algorithms.

HeuristicLab - An environment for heuristic and evolutionary optimization