Rust implementation of the NEAT evolutionary algorithm
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Updated
Jan 17, 2021 - Rust
Rust implementation of the NEAT evolutionary algorithm
GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
A better NEAT implementation from my old one, transtaled from Code Bullet's Processing implementation.
Custom library implementing NEAT aglorithm in JavaScript
Made from scratch. Each arrow/player is controlled by a neural network. They have to keep eating to stay alive and reproduce. When they reproduce they will spawn a player that is a mutated version of the parent. Fun to watch them evolve and learn. I use NeuroEvolution of Augmenting Topologies as the strategy for evolution.
A simple flappy-bird game built on pygame module with dual mode availability. Manual as well AI (Reinforcement & NEAT-algorithm based).
This project aims at playing the game of Tetris using Genetic Algorithm
C++ library for evolving neural networks with NEAT
Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python
A neuroevolution based AI for Flappy Bird
Rust implementation of NEAT made for university project
NEAT-AI plays arcade shooter game "scramble"
An implementation of NEAT combined with SGD (based on the paper 2018 paper: Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks), for estimating optimal VCG redistribution functions for the public project mechanism design problem
"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.
“Flying through the obstacles” is a playable game which the model learns to play and trains itself to perform best even in the most difficult levels. The model trains to emerge victorious against human players in any stage. Our model produces the best gaming results that are possible to achieve.
C# library for a slightly modified algorithm of NEAT
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