Showing 5 of 5 projects
An open-source, in-memory platform for distributed and scalable machine learning with support for a wide range of algorithms and big data technologies.
An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.
A curated collection of research papers on decision, classification, and regression trees with implementations from top ML conferences.
A minimal benchmark comparing scalability, speed, and accuracy of popular open-source machine learning libraries for binary classification.
Python implementation of the Boruta all-relevant feature selection method with scikit-learn compatibility.
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