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DistrictDataLabs
yellowbrick

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

586K 4K 568
BCG-X-Official
sklearndf

DataFrame support for scikit-learn.

95K 63 9
joshspeagle
dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

91K 407 87
EpistasisLab
tpot

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

32K 10K 2K
alteryx
evalml

EvalML is an AutoML library written in python.

11K 847 93
JohannesBuchner
ultranest

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

11K 202 34
cerlymarco
shap-hypetune

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

7K 584 73
BCG-X-Official
gamma-facet

Human-explainable AI.

7K 532 46
SimonBlanke
hyperactive

A unified interface for optimization algorithms and experiments

6K 552 75
rodrigo-arenas
sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

5K 359 91
WenjieZ
tscv

Time series cross-validation

2K 260 43
JohannesBuchner
bxa

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

1K 67 21
PEtab-dev
petab-select

Model selection for PEtab

1K 14 1
glubbdubdrib
lazygrid

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

922 1 0
rupeshbharambe24
dissectml

The missing middle layer between EDA and AutoML — unified pipeline from deep data understanding to model comparison in 3 function calls. Deep EDA, 36-model battle arena, statistical significance testing, target leakage detection, and publication-ready HTML reports.

900 1 0
oxid15
cascade-ml

Lightweight and modular MLOps library targeted at small teams or individuals

879 21 1
EpistasisLab
tpot2

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

747 251 33
config-i1
greybox

Toolbox for model building and forecasting

630 31 8
christophmark
bayesloop

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

606 169 30
bambinos
kulprit

Kullback-Leibler projections for Bayesian model selection in Python

591 42 7
estebanrucan
estyp

Extended Statistical Toolkit Yet Practical

557 5 0
burning-cost
insurance-cv

Temporal and distributional cross-validation, and feature screening, for insurance pricing models

539 0 0
wmjg-alt
easymlselector

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

499 0 0
fluidml
fluidml

FluidML is a lightweight framework for developing machine learning pipelines. Focus only on your tasks and not the boilerplate!

433 22 4
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