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

tune

An abstraction layer for parameter tuning

iopt

Framework of intelligent optimization methods iOpt

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.

eptune

EPTune: Parameter Tuning using Evolutionary Algorithm.

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.

hyperassist

AI training diagnostics and hyperparameter assistant.

fedot-example-test

Automated modeling and machine learning framework FEDOT

paramtunercv

Parameter tuning tool for computer vision

lightautoml-gpu

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

xgbtune

a library to tune xgboost models

optuclust

Optuna-tuned clustering

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

up-ac

An Algorithm Configuration package for unified-planning.