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A Julia machine learning framework providing a unified interface and meta-algorithms for over 200 models.
A Python library for probabilistic prediction using natural gradient boosting, built on scikit-learn.
A unified interface and infrastructure for machine learning in R, supporting classification, regression, clustering, and survival analysis.
A Python package for concise, transparent, and accurate predictive modeling with sklearn-compatible interpretable models.
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