An Open Source Machine Learning Framework for Everyone

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

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

Models and examples built with TensorFlow

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

Making text a first-class citizen in TensorFlow.

Probabilistic reasoning and statistical analysis in TensorFlow

A WebGL accelerated JavaScript library for training and deploying ML models.

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

Training neural models with structured signals.