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 hyper parameter tuning

fedot

Automated modeling and machine learning framework FEDOT

alchemy-cat

Alchemy Cat —— 🔥Config System for SOTA

tpot2

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

opticomp

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

eptune

EPTune: Parameter Tuning using Evolutionary Algorithm.

coexist

Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.

fedot-example-test

Automated modeling and machine learning framework FEDOT

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.

xgbtune

Automated XGBoost tunning

paramtunercv

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

lightautoml-gpu

Fast and customizable framework for automatic ML model creation (AutoML)

stexus

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

scyred

Automatic sklearn parameter tuning with bio-inspired algorithms

optuclust

Optuna-tuned clustering

up-ac

Integration of algorithm configuration in the Unified Planning Framework