Showing 1-18 of 18 projects
Barebones NumPy ML implementations for learning
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.
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.
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.
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.
A blazing-fast library for neuro-evolution and backpropagation in JavaScript, useful for AI and machine learning developers.
A collection of state-of-the-art metaheuristic optimization algorithms in Python for developers working with AI tools.
Automatically generate programs using AI and genetic algorithms, with tutorials and examples.
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