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Model Selection Python Packages

Python packages with the GitHub topic model-selection. Sorted by relevance, with stars and monthly downloads.
DistrictDataLabs
yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

594K 4K 570
joshspeagle
dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

111K 408 87
BCG-X-Official
sklearndf

DataFrame support for scikit-learn.

72K 63 9
EpistasisLab
tpot

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

31K 10K 2K
alteryx
evalml

EvalML is an AutoML library written in python.

10K 848 93
JohannesBuchner
ultranest

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

8K 203 34
BCG-X-Official
gamma-facet

Human-explainable AI.

8K 533 46
cerlymarco
shap-hypetune

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

7K 584 73
rodrigo-arenas
sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

6K 361 91
SimonBlanke
hyperactive

A unified interface for optimization algorithms and experiments

6K 552 74
config-i1
greybox

Toolbox for model building and forecasting

3K 31 8
WenjieZ
tscv

Time Series Cross-Validation -- an extension for scikit-learn

2K 260 43
JohannesBuchner
bxa

Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

2K 68 21
oxid15
cascade-ml

Lightweight and modular MLOps library targeted at small teams or individuals

1K 21 1
JLDC
model-confidence-set

model-confidence-set provides a Python implementation of the Model Confidence Set (MCS) procedure (Hansen, Lunde, and Nason, 2011), a statistical method for comparing and selecting models based on their performance.

963 20 2
BartekPog
modelcreator

Machine Learning package for quick fast model generation and comparison

959 6 0
PEtab-dev
petab-select

PEtab Select: an extension to PEtab for model selection.

895 14 1
EpistasisLab
tpot2

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

869 250 33
bambinos
kulprit

Kullback-Leibler projections for Bayesian model selection in Python

795 45 7
christophmark
bayesloop

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

663 169 30
wmjg-alt
easymlselector

A model selection process for Machine Learning tasks on subset of training sample

591 0 0
glubbdubdrib
lazygrid

Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.

582 1 0
bGuenes
bayes-compass

COMPASS: A Python package for bayesian model comparison in a simulation based setting

497 6 0
estebanrucan
estyp

ESTYP: Extended Statistical Toolkit Library for Python

475 5 0
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