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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Simple and Distributed Machine Learning
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Scalable machine 🤖 learning for time series forecasting.