There are 5 repositories under neat-algorithm topic.
Implementation of SharpNEAT in Unity 2020. Full refactor of the UnityNEAT project.
An implementation of CoDeepNEAT using pytorch with extensions
A better NEAT implementation from my old one, transtaled from Code Bullet's Processing implementation.
Flappy Bird game, but AI plays it :robot:
Ping Pong game, but AI plays it :robot:
A NEAT library in Python
This is a self-played snake game that uses genetic algorithm and neural network to learn and improve its gameplay over time. The game is built using the p5.js library for graphics and user interface, and the tensorflow.js and neataptic libraries for machine learning.
sNEAT: A simplified implementation of NEAT (Neuro-Evolution of Augmenting Topologies) in Python
Deep Evolvable-Substrate HyperNEAT - Extending ES-HyperNEAT with Multiple Substrates in an Evolving Topology
A simple pygame dino game which can also be trained and played by a NEAT AI
Age of war clone made in unity in order to speed up the neat algorithm training process. The values are extracted from the original game. It Communicates with a python script
Using NEAT to make a gamebot for spaceinvaders
Meu primeiro Projeto - SimulaĆ§Ć£o de Ecossistema
A Wumpus World game with an AI agent that plays it.
Machine learning pong ai using NEAT
The NEAT Algorithm made from scratch learns to play the game color switch also made from scratch in python
The project showcases the implementation of the NEAT algorithm in Python to play a Flappy Bird-like game. It orchestrates theĀ evolutionĀ andĀ evaluationĀ of a bird population throughĀ successive generations until the fitness threshold is met. The ultimateĀ winner genome, demonstrating exceptional gameplay, is saved as a pickle file as the main output.
TinyNEAT is a simple and extensible NEAT (NeuroEvolution of Augmenting Topologies) implementation in TypeScript.
a pretty cool artificial life simulator
Genetic algorithm for training ann
š¦ Neuro-Evolution of Augmenting Topologies (NEAT) implementation in JS
Snake game self played with genetic algorithm and neural network - NEAT
Implementation of NEAT algorithm, based on "Evolving Neural Networks through Augmenting Topologies" by Kenneth O. Stanley and Risto Miikkulainen
The repository with source code which can be used to compare performance of different implementations of the NEAT algorithm
Pioneered by SethBling, improved by Akisame, revived by MarioBot. This. Is. MarioBot. https://www.youtube.com/watch?v=qv6UVOQ0F44