Evolutionary Algorithm Python Packages

radiate

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

stochopy

Python library for stochastic numerical optimization

dnaty

Compress PyTorch models for edge devices — CPU-only, no GPU, no retraining. One function call.

robynpy

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

neurotune

Package for fitting/optimization of NeuroML models

vieclus

Vienna Graph Clustering

evol

a python grammar for evolutionary algorithms and heuristics

genetic-tree

Constructing decision trees with genetic algorithm with a scikit-learn inspired API

edaspy

EDAspy is a Python package that implements Estimation of Distribution Algorithms. EDAspy allows toeither use already existing implementations or customize the EDAs baseline easily building it bymodules so new research can be easily developed. It also has several benchmarks for comparisons.

beehiveoptimization

Implementation of beehive method (particle swarm optimization) for global optimization of multidimentional functions

evolutionary-keras

An evolutionary algorithm implementation for Keras

m3gp

An easy-to-use scikit-learn inspired implementation of the Multidimensional Multiclass Genetic Programming with Multidimensional Populations (M3GP) algorithm

discretehillclimbing

implementation of Hill Climbing algorithm for discrete tasks

graph-stitcher

Graph algorithms to merge two graphs based on stitching.

tensor-evolution

Evolutionary algorithm for neural network structure

geppy

A framework for gene expression programming (an evolutionary algorithm) in Python

sneat

sNEAT: A simplified implementation of NEAT (Neuro-Evolution of Augmenting Topologies) in Python

simplestsimulatedannealing

Simplest fast implementation of simulated annlealing method

genetic-prompt-lab

GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.

deltamoea

Multi-Objective Grid Search Algorithm

bwo

Black Widow Optimization implemented in pure Python.

cosmic-selection

天择，基于PyTorch的新一代高性能演化计算框架。CosmicSelection: a new generation of high-performance evolutionary computing framework based on PyTorch.

promptimal

Optimize your prompts in the terminal

meta-robyn-py

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.