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Evolutionary Algorithms Python Packages

Python packages with the GitHub topic evolutionary-algorithms. Sorted by relevance, with stars and monthly downloads.
ahmedfgad
pygad

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

83K 2K 500
google
google-vizier

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

25K 2K 110
esa
pygmo

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

20K 529 67
rmsolgi
geneticalgorithm

Genetic Algorithm Package for Python

17K 272 78
openbraininstitute
bluepyopt

Blue Brain Python Optimisation Library

16K 8 0
xcsf-dev
xcsf

XCSF learning classifier system: rule-based evolutionary machine learning

7K 36 13
evo-hq
evo-hq-cli

A plugin for Claude Code and Codex that turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

7K 622 52
pkalivas
radiate

A fast and flexible evolution engine for implementing artificial evolution and genetic programming techniques

7K 244 20
thomasWeise
moptipy

A package for metaheuristic optimization in Python.

6K 30 3
Evolutionary-Intelligence
pypop7

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]

6K 284 42
google
google-vizier-dev

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

6K 2K 110
nnaisense
evotorch

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

6K 1K 78
rodrigo-arenas
sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

5K 359 91
evo-hq
evo-hq-agent

A plugin for Claude Code and Codex that turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

5K 622 52
icaros-usc
ribs

A bare-bones Python library for quality diversity optimization.

5K 260 46
skblaz
autobotlib

An autoML for explainable text classification.

3K 11 4
lucidrains
x-evolution

x-evolution

2K 49 6
PasaOpasen
oppoppopinit

PyPI package containing opposition learning operators and population initializers for evolutionary algorithms

2K 6 2
aimclub
fedot

Automated modeling and machine learning framework FEDOT

2K 704 92
cad-polito-it
byron

An evolutionary source-code fuzzer

2K 11 2
Plant-Food-Research-Open
calisim

A toolbox for the calibration and evaluation of simulation models.

2K 20 3
EMI-Group
evox

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

2K 2K 322
DataCanvasIO
hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

2K 264 39
jcbachmann
blending-simulator-lib

Evaluation scripts for blending-simulation

2K 1 0
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