Genetic Algorithms Python Packages

x-transformers-rl

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

pypop7

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants. In the near future, we will add Learning-Based Optimizers as its extensions. [https://jmlr.org/papers/v25/23-0386.html]

evolutionary-policy-optimization

EPO - Pytorch

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

oppoppopinit

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

transformer-directed-evolution

Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster

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

eckity

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

finch-genetics

🐤The next evolution of evolution.

evola

Evolutionary algorithms

alogos

Grammar-guided genetic programming (G3P) methods: CFG-GP, GE, piGE, DSGE, WHGE

nevopy

Neuroevolution framework for Python.

sann

A Simple Artificial Neural Network (SANN) module, for educational use.

genfact

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

genetist

Genetist: optimization with genetic algorithms

ga2

Genetic Algorithm utility for python

nevolve

Neuro-Evolution Library for Reinforcement Learning

ruck

Performant evolutionary algorithms for Python.

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.

genopt

Genopt: optimization with genetic algorithms