ddehueck / pytorch-neat
A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
☆106Updated 9 months ago
Alternatives and similar repositories for pytorch-neat:
Users that are interested in pytorch-neat are comparing it to the libraries listed below
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆121Updated last year
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆117Updated last year
- A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…☆72Updated 3 years ago
- ☆557Updated 2 years ago
- A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)☆222Updated 4 years ago
- CoDeepNEAT inspired implementation using Keras and Tensorflow as backend.☆37Updated 5 years ago
- An implementation of CoDeepNEAT using pytorch with extensions☆31Updated 4 years ago
- map elites python reference implementation☆82Updated last year
- Neuro-evolution for OpenAI Gym environments☆56Updated 4 years ago
- Python implementation of the NEAT neuroevolution algorithm☆33Updated 7 years ago
- Let's solve the flatland challenge!☆73Updated last year
- Tiny Genetic Programming in Python.☆101Updated 2 years ago
- A Python interface for Minecraft built on gRPC☆124Updated 2 years ago
- A bare-bones Python library for quality diversity optimization.☆218Updated last week
- A library that makes Evolutionary Strategies (ES) simple to use.☆180Updated 4 years ago
- Accelerated Quality-Diversity