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Updated 9 months ago

mljar-supervised • Rank 20.2 • Science 44%

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

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

Updated 9 months ago

https://github.com/mews-labs/palma • Science 26%

This library aims at providing tools for an automatic machine learning approach. As many tools already exist to establish one or the other component of an AutoML approach, the idea of this library is to provide a structure rather than to implement a complete service.

automl automl-api automl-pipeline data-leakage drift-detection machine-learning machine-learning-algorithms python sklearn

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mljar-supervised • Rank 20.2 • Science 44%

https://github.com/mews-labs/palma • Science 26%