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CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box, successor of the MatrixNet algorithm developed by Yandex.
A unified environment to support fast and scalable AI/ML development: from data collection and annotation to model training, deployment and monitoring.
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RAPIDS | GPU Accelerated Data Science
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