TensorFlow Decision Forests

TensorFlow Decision Forests (TF-DF) is a Python library that integrates state-of-the-art decision forest algorithms (such as Random Forests and Gradient Boosted Trees) directly into TensorFlow and Keras. It enables training, serving, and interpreting these models for classification, regression, and ranking tasks. Built on the highly optimized C++ Yggdrasil Decision Forests (YDF) library, it is actively maintained with frequent releases, typically every few months.