Showing 1-4 of 4 projects
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
An open-source anomaly detection library with state-of-the-art algorithms and features like experiment management and edge inference.
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
Hyper-parameter optimization for sklearn
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