NEAT is neat! Neuroevolution of augmenting topologies is a genetic algorithm.

🧹 Convert TypeScript to a cleaner JavaScript project

AI tries to solve the N-Body-Problem

GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)

Track Performance Optimizer using NEAT

An implementation of Kenneth O. Stanley's NEAT Algorithm for the Godot game engine, written in gdscript.

🚗 Draw a circuit and watch self-driving cars evolve thanks to the NEAT evolutionary algorithm.

Home Assistant HACS integration to pull in Neat device sensor data via Pulse API

This is my Digital-Dump.

An implementation of NEAT in C++, intended to work with Godot 3 as a module

Small mod which shows mobs HP Bar. Neat mod for Minecraft 1.12.2

Car racing RL agents in actual F1 tracks

🎨 Yet another theme for elegant writers with modern flat style and beautiful night/dark mode.

An AI-powered Flappy Bird game using NEAT. This project combines game mechanics with machine learning to create an agent that learns to navigate obstacles through evolutionary neural networks. This repository showcases the power of NEAT to train an autonomous agent across multiple generations, improving performance with each iteration.

NEATeRS is a library for training a genetic neural net through reinforcement learning in Rust.

A minimalistic bundle of a few SCSS/Sass tools for building modern, flexible websites: a better normalize, shorthand stuff for flexbox and grid, and a fluid sizing function.

Rating: (7/10) The Python program creates a puzzle game using the Pygame library, controlling enemies by collecting colored foods. It initializes the environment, creates classes, and implements the NEAT algorithm for neural network control.

Pure C++ library for evolving neural networks with a modified NEAT that is able to access any previous data, allowing any kind of data

🚗 Program Self-Driving Car, menggunakan algoritma NEAT dan supporting UI pygame

Concept: Flappy Bird is a popular side-scrolling game where the player controls a bird, attempting to fly between columns of green pipes without hitting them. Objective: Achieve the highest possible score by passing through the gaps between pipes.