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algorithmicsuperintelligence / openevolve

Open-source implementation of AlphaEvolve

Symbolic Learning in Python and Julia

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.

aimclub / FEDOT

Automated modeling and machine learning framework FEDOT

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.

rebase-energy / hillclimb

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