Genetic Algorithms Python Packages

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]

x-transformers-rl

Implementation of a transformer for reinforcement learning using `x-transformers`

geneticalgorithm2

Supported highly optimized and flexible genetic algorithm package for python3.8+

easyga

EasyGA is a python package designed to provide an easy-to-use Genetic Algorithm. The package is designed to work right out of the box, while also allowing the user to customize features as they see fit.

blackbox-gradient-sensing

Implementation and explorations into Blackbox Gradient Sensing (BGS), an evolutionary strategies approach proposed in a Google Deepmind paper for Table Tennis

evolutionary-policy-optimization

Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University

oppoppopinit

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

absplit

A Python Package that uses Genetic Algorithms to generates A/B/n test groups from a population, across time and metrics

femos

My small library for neuroevolution

finch-genetics

A flexible framework for evolutionary algorithms in Python

eckity

EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.

evola

Evolutionary algorithms

nevopy

Neuroevolution framework for Python.

alogos

Grammar-guided genetic programming (G3P): Search for optimal strings in any context-free language.

genfact

A model agnostic and gradient-free optimization method for generating counterfactuals

nevolve

Neuro-Evolution Library for Reinforcement Learning

tunafish

Tunafish is a high-level genetic algorithm/programming-based function auto-tuning toolkit. It figures out what the best arguments to a function should be to optimize its output with respect to an arbitrary fitness function, like a distance measure.

ruck

Performant evolutionary algorithms for Python.

ga2

Genetic Algorithm utility for python

sann

Simple Artificial Neural Networks (SANN) - for educational purposes only. ☠️NOT FOR PRODUCTION☠️

genetist

Genetist: optimization with genetic algorithms

gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

darwin-framework

Darwin Neuroevolution Framework

geneopt

GeneOpt is a Python library designed for creating and optimizing genetic algorithms, including support for distributed evaluation and detailed plotting tools. It provides a robust framework for solving optimization problems by simulating the principles of natural selection.