A place to post ideas, partial projects, or anything else that doesn't necessarily warrant its own repo, from my mind to the web.

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

Genea: A Genetic Algorithm in Python Genea is a Genetic Algorithm written in Python, for educational purposes. I started writing it for fun, while lea

GENDIS GENetic DIscovery of Shapelets In the time series classification domain, shapelets are small subseries that are discriminative for a certain cl

PyGAD: Genetic Algorithm in Python PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine lear

Evostra: Evolution Strategy for Python Evolution Strategy (ES) is an optimization technique based on ideas of adaptation and evolution. You can learn

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

pyribs Website Source PyPI Conda CI/CD Docs Docs Status Twitter pyribs.org GitHub docs.pyribs.org A bare-bones Python library for quality diversity op

PG-MORL This repository contains the implementation for the paper Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Contro

package tests docs license stats support This repository contains FEDOT - an open-source framework for automated modeling and machine learning (AutoML

🧬 Performant Evolutionary Algorithms For Python with Ray support

PGPElib A mini library for Policy Gradients with Parameter-based Exploration [1] and friends. This library serves as a clean re-implementation of the

Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ

🧬 Training the car to do self-parking using a genetic algorithm