Popular GitHub Repositories for Neat Python

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

Using NEAT Python to learn to play Flappy Bird.

Stock trading based on MACD indicator, using NEAT and naive algorithm

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

?️ Teaching a car how to drive using the NEAT algorithm in Python.

NEAT for Reinforcement Learning on the OpenAI Gym

This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm. It contains the code to reproduce the results presented in the original paper: https://link.springer.com/article/10.1007/s12530-023-09510-3

A NEAT library in Python

A self-playing bot built with NEAT-python for Chrome T-Rex game recreated in pygame

A simple pygame dino game which can also be trained and played by a NEAT AI

Implementation of online multiplayer game - splix.io, enriched by two kind of bots using AI. Bots using heuristic algorithm and bots using NEAT algorithm.

A neuro-evolução é uma técnica de aprendizado de máquina que aplica algoritmos evolucionários para construir uma rede neural artificial, tendo como inspiração o processo biológico evolutivo do sistema nervoso na natureza.

A Wumpus World game with an AI agent that plays it.

A fast Python neuroevolution library for evolutionary machine learning

The repository with source code which can be used to compare performance of different implementations of the NEAT algorithm

NEAT: NeuroEvolution of Augmenting Topologies

Optimizing both weight and structure of neural network using genetic algorithm using neat-python library. identifying the user by its typing patterns using the evolved neural network and also compared it with 3-layer neural network.

Using NEAT to solve OpenAI gym environments

A genetic algorithm, NEAT-based project showcasing autonomous flight along with collaborative connections within swarm

Age of war AI, tried in quite a few different ways. Ended up winning on hard mode consistently. Read docs for more details