Open-source implementation of AlphaEvolve
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Updated
Oct 20, 2025 - 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 Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.
NSGA-Net, a Neural Architecture Search Algorithm
A bare-bones Python library for quality diversity optimization.
A framework for gene expression programming (an evolutionary algorithm) in Python
Programmatic modification and evaluation of software
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.
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
Return Oriented Programme Evolution with ROPER
A lightweight, generic C++11 framework for evolutionary computation
EvoMO is a GPU-accelerated library for evolutionary multiobjective optimization (EMO)
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.
An implementation of NSGA-III in Python.
Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.
talk-generator is capable of generating coherent slide decks based on a single topic suggestion.
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