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.
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A curated list of gradient boosting research papers with implementations.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.