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A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Created
2021-04-22
623 commits to main branch, last one 9 days ago
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Created
2021-04-22
991 commits to main branch, last one 6 days ago
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Created
2016-06-08
484 commits to master branch, last one 2 years ago