Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Neuroevolution Framework for Tensorflow 2.x focusing on modularity and high-performance. Preimplements NEAT, DeepNEAT, CoDeepNEAT

TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT

A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)

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

Distributed implementation of popular evolutionary methods

Genetic learning algorithm implementation for simulations, games, or general machine learning problems

🧠 NEAT algorithm applied to Chrome Dinosaur game in Python.

An implementation of CoDeepNEAT using pytorch with extensions

Neuroevolution framework for Python.

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

A project on improving Neural Networks performance by using Genetic Algorithms.

NEAT for Reinforcement Learning on the OpenAI Gym

Python based AI that uses Deep Neural Networks, Neuroevolution and Streamlabs APIs to live stream games while commentating over them at the same time

Reinforcement learning for load distribution in a decentralized Edge environment. This is the implementation of my Master's thesis project for the Data science course (October 2023).

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

Ping Pong game, but AI plays it 🤖