Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

source code from the book Genetic Algorithms with Python by Clinton Sheppard

Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149

Evolving version of Conway’s Game of Life.

[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pattern search, and random search, etc.). [Citation: https://jmlr.org/papers/v25/23-0386.html (***CCF-A***)]

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Source Code for the Book Classic Computer Science Problems in Swift

A 2D/3D visualization of the Traveling Salesman Problem main heuristics

Genetic algorithm for unsupervised machine learning in Go.

Evolutionary Algorithms Framework

A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm

Twitter Genetic Algorithm Imagery

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.

AI research environment for the game of Snake 🐍 .

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Python implementation for TSP using Genetic Algorithms, Simulated Annealing, PSO (Particle Swarm Optimization), Dynamic Programming, Brute Force, Greedy and Divide and Conquer

Evolve complex cellular automata with a genetic algorithm.

TetNet is an application that uses genetic algorithms to create an evolving Tetris AI.