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A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Python 690 113 Updated Aug 27, 2025

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

C++ 612 66 Updated Oct 6, 2025