algorithmicsuperintelligence / openevolve

Open-source implementation of AlphaEvolve

astroautomata / PySR

Symbolic Learning in Python and Julia

EMI-Group / evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

ahmedfgad / GeneticAlgorithmPython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

google / vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

evo-hq / evo

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

ant-research / AntOmniEvo

An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.

nnaisense / evotorch

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

esa / pagmo2

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

jenetics / jenetics

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

astroautomata / SymbolicRegression.jl

Distributed High-Performance Symbolic Regression in Julia

WebFuzzing / EvoMaster

The first open-source AI-driven tool for automatically generating system-level test cases (also known as fuzzing) for web/enterprise applications. Currently targeting whitebox and blackbox testing of Web APIs, like REST, GraphQL and RPC (e.g., gRPC and Thrift).

aimclub / FEDOT

Automated modeling and machine learning framework FEDOT

esa / pygmo2

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

i3T4AN / KADATH

Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.

Birfy / agentdescent

Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.

Stxqq / self-driving-car

Self-driving car in plain JavaScript: a neural network evolved by a genetic algorithm drives highway traffic

rebase-energy / hillclimb

Hillclimbing on verifiable rewards. Use Claude Code and Codex to autonomously search for python programs that optimize a score you define. 🏔️