Open-source implementation of AlphaEvolve
-
Updated
Sep 29, 2026 - Python
Open-source implementation of AlphaEvolve
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and evolve across complex software engineering, mathematical, and machine learning tasks.
SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.
A GPU-accelerated library for Tree-based Genetic Programming, leveraging PyTorch and custom CUDA kernels for high-performance evolutionary computation. It supports symbolic regression, classification, and policy optimization with advanced features like multi-output trees and benchmark tools.
NSGA-Net, a Neural Architecture Search Algorithm
A bare-bones Python library for quality diversity optimization.
EvoMO is a GPU-accelerated library for evolutionary multiobjective optimization (EMO)
A framework for gene expression programming (an evolutionary algorithm) in Python
Programmatic modification and evaluation of software
[ICML 2026] Meta Context Engineering via Agentic Skill Evolution
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
Return Oriented Programme Evolution with ROPER
A lightweight, generic C++11 framework for evolutionary computation
An implementation of NSGA-III in Python.
To associate your repository with the evolutionary-computation topic, visit your repo's landing page and select "manage topics."