Showing 1-20 of 26 projects
Barebones NumPy ML implementations for learning
A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, and other optimization algorithms for Python
Smile is a comprehensive statistical machine learning and data science library for Java developers.
Open-source implementation of AlphaEvolve, a coding agent for iterative code optimization and discovery.
A Go library for generating high-quality triangulated and polygonal art from images using evolutionary algorithms.
DeepVariant is an AI-powered bioinformatics pipeline for calling genetic variants from DNA sequencing data.
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
Open-source statistical and algorithmic investing strategies for everyone
A Python library for multi-objective optimization, supporting a variety of algorithms like NSGA2, NSGA3, and more.
A neural network trained to play the classic game of Snake using a genetic algorithm.
A fully functional poker bot that uses computer vision, neural networks, and genetic algorithms to play poker on various platforms.
PyGAD is a Python 3 library for building genetic algorithms and training machine learning models.
Machine learning-powered implementation of the classic Flappy Bird game using neural networks and genetic algorithms.
A Python library for Genetic Programming with a scikit-learn inspired API for developers building AI tools.
This 2D Unity simulation allows cars to learn to navigate through different courses using a feedforward neural network and genetic algorithm.
A fast, extensible, and multi-threaded C# library that simplifies the development of Genetic Algorithm applications.
A library for implementing hyperparameter optimization methods for machine learning and deep learning models.
A Python implementation of genetic algorithms for optimization and search.
An evolutionary algorithm library in Python for developers interested in AI and machine learning.
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