Parameter Tuning Python Packages

spark-sklearn

(Deprecated) Scikit-learn integration package for Apache Spark

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

hyperactive

A unified interface for optimization algorithms and experiments

iopt

Framework of intelligent optimization methods iOpt

tune

An abstraction layer for parameter tuning

fedot

Automated modeling and machine learning framework FEDOT

tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

alchemy-cat

Alchemy Cat —— 🔥Config System for SOTA

opticomp

Easily compare/benchmark optimizers on a custom or common objective.

coexist

Learning simulation parameters from experimental data, from the micro to the macro, from the laptop to the cluster.

eptune

EPTune: Parameter Tuning using Evolutionary Algorithm.

fedot-example-test

Evolutionary structural learning framework FEDOT

xgbtune

Automated XGBoost tunning

paramtunercv

Interactive image viewer and processing application for computer vision research and real-time parameter tuning with OpenCV

hyperassist

A modular tool for analyzing machine learning training logs and hyperparameters. It helps developers and researchers gain insight into training dynamics, surface anomalies, and improve model performance through informed tuning.

lightautoml-gpu

LAMA - automatic model creation framework

stexus

A flexible optimization tool that connects (hyper)parameter optimization engines with custom experiments through template-based configuration and a task, e.g. scripting.

optuclust

Optuna-tuned clustering

scyred

Library that joins scikit-learn with inspyred to create an easy-to-use parameter tuning

up-ac

Integration of algorithm configuration in the Unified Planning Framework