Search 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]

evolutionary-policy-optimization

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

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

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

genfact

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

alogos

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

nevopy

An open source neuroevolution framework for Python.

ruck

Performant evolutionary algorithms for Python.

nevolve

Neuro-Evolution Library for Reinforcement Learning

ga2

Genetic Algorithm utility for python

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.

genetist

Genetist: optimization with genetic algorithms

sann

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

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.