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mljar / mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Repository stars
3,307All-time #18,825
Fork
448
Last push
updated 1 days ago
Repository created
since 2018
Frameworks & SDKsData science & machine learningPythonMIT · Permissive
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Original · GitHub
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Summarised by AI from the README; the original prevails

Author description: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Basic listing based on official public information; functionality has not been independently evaluated.

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Data analysis# automated-machine-learning# automl# automl-api# automl-python# catboost# data-science# decision-tree# ensemble# feature-engineering# hyper-parameters# hyperparameter-optimization# lightgbm# machine-learning# mljar# neural-network# random-forest# scikit-learn# xgboost

Star trend

Includes values estimated from GitHub history
3,2983,3033,30711-06 · 3,30710-0810-1310-1810-2310-2811-0211-06
Raw observations · 2
Historical observations
Measured atRepository starsSource
2026-11-06 07:20 UTC3,307Source
2026-11-03 09:43 UTC3,307Source

First collected 2026-11-03Measured at 2026-11-06 07:20 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.