GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)

The project showcases the implementation of the NEAT algorithm in Python to play a Flappy Bird-like game. It orchestrates the evolution and evaluation of a bird population through successive generations until the fitness threshold is met. The ultimate winner genome, demonstrating exceptional gameplay, is saved as a pickle file as the main output.

C++ library for evolving neural networks with NEAT

This library use a genetic algorithm to fit a neural network weights. This is useful when you don't have a dataset to train your neural network, for example when you need an agent to interact with an environment or to learn to play some games.

JAX implementation of NeuroEvolution of Augmenting Topologies (Neat)

NEAT program which learns different SNES/NES games from the Bizhawk emulator

Just an experiment for testing neuroevolution of augmenting topologies (NEAT) algorithm using chrome trex game. It is a genetic algorithm for training and building evolving neural networks. I used this NEAT Algorithm for developing a evolving neural network which helps a trex dinosaur to play the game on it's own without any external inputs.

The project showcases the implementation of the NEAT algorithm in Python to play a Flappy Bird-like game. It orchestrates the evolution and evaluation of a bird population through successive generations until the fitness threshold is met. The ultimate winner genome, demonstrating exceptional gameplay, is saved as a pickle file as the main output.

"IntelliPong" is an AI-powered version of the popular game ping pong. This project tries to combine the thrill of ping pong with the power of artificial intelligence.

This repository showcases a project where the NEAT algorithm, which dynamically evolves neural networks by adjusting both their architecture and weights, is applied to develop an advanced game-playing agent. The project demonstrates NEAT's capability to create optimized strategies for complex gameplay scenarios.