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Parameter Tuning Python Packages

Python packages with the GitHub topic parameter-tuning. Sorted by relevance, with stars and monthly downloads.
databricks
spark-sklearn

(Deprecated) Scikit-learn integration package for Apache Spark

136K 1K 224
EpistasisLab
tpot

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

31K 10K 2K
cerlymarco
shap-hypetune

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

7K 584 73
SimonBlanke
hyperactive

A unified interface for optimization algorithms and experiments

6K 552 74
aimclub
iopt

Framework of intelligent optimization methods iOpt

4K 57 26
fugue-project
tune

An abstraction layer for parameter tuning

3K 35 3
aimclub
fedot

Automated modeling and machine learning framework FEDOT

2K 704 92
EpistasisLab
tpot2

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

869 250 33
HAL-42
alchemy-cat

Alchemy Cat —— 🔥Config System for SOTA

852 113 7
OptiComp
opticomp

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

311 2 0
uob-positron-imaging-centre
coexist

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

272 20 5
wanglongqi
eptune

EPTune: Parameter Tuning using Evolutionary Algorithm.

265 2 0
nccr-itmo
fedot-example-test

Evolutionary structural learning framework FEDOT

221 704 92
MainRo
xgbtune

Automated XGBoost tunning

164 8 0
harsh194
paramtunercv

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

163 12 0
diputs-sudo
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.

154 4 0
sberbank-ai-lab
lightautoml-gpu

LAMA - automatic model creation framework

145 923 98
jundi77
stexus

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

90 0 0
filipsPL
optuclust

Optuna-tuned clustering

79 1 0
caiocarneloz
scyred

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

78 3 0
DimitriWeiss
up-ac

Integration of algorithm configuration in the Unified Planning Framework

34 0 3
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