#Genetic-algorithms
Showing 19 of 19 repositories tagged #genetic-algorithms, ranked by stars
Open-source implementation of AlphaEvolve
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
Source Code for the Book Classic Computer Science Problems in Swift
Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
AI research environment for the game of Snake 🐍 .
Evolve complex cellular automata with a genetic algorithm.
Implementation of a transformer for reinforcement learning using `x-transformers`
Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster
A Blazor web app developed to explore the use of Genetic Algorithms for solving problems.
Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)
Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind
Biologically-Inspired and Machine Learning Algorithms written in Python
Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.
GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.
Neuroevolution framework for Python.