Parameter Tuning Python Packages

spark-sklearn

(Deprecated) Scikit-learn integration package for Apache Spark

126K 1K 224

tpot

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

32K 10K 2K

shap-hypetune

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

7K 584 73

hyperactive

A unified interface for optimization algorithms and experiments

6K 552 75

iopt

Framework of intelligent optimization methods iOpt

4K 57 26

tune

An abstraction layer for hyper parameter tuning

4K 35 3

fedot

Automated modeling and machine learning framework FEDOT

2K 704 92

tpot2

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

747 251 33

alchemy-cat

Alchemy Cat —— 🔥Config System for SOTA

744 113 7

opticomp

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

268 2 0

eptune

EPTune: Parameter Tuning using Evolutionary Algorithm.

263 2 0

coexist

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

215 20 5

fedot-example-test

Automated modeling and machine learning framework FEDOT

173 704 92

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.

144 4 0

xgbtune

Automated XGBoost tunning

132 8 0

paramtunercv

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

116 12 0

stexus

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

102 0 0