An Open Source Machine Learning Framework for Everyone

An open-source Python framework for hybrid quantum-classical machine learning.

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

Models and examples built with TensorFlow

Java bindings for TensorFlow

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

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