Search Packages

pygad

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.

pygmo

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

geneticalgorithm

Genetic Algorithm Package for Python

bluepyopt

Blue Brain Python Optimisation Library

xcsf

XCSF learning classifier system: rule-based evolutionary machine learning

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]

moptipy

A package for metaheuristic optimization in Python.

radiate

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

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.

google-vizier-dev

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

evotorch

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

sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

ribs

A bare-bones Python library for quality diversity optimization.

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.

autobotlib

An autoML for explainable text classification.

oppoppopinit

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

fedot

Automated modeling and machine learning framework FEDOT

x-evolution

x-evolution

evox

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

blending-simulator-lib

Evaluation scripts for blending-simulation

calisim

A toolbox for the calibration and evaluation of simulation models.

byron

An evolutionary source-code fuzzer

hypernets

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