TensorFlow Probability is a library for probabilistic reasoning and statistical analysis.

Tensor2Tensor is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A library for reinforcement learning in TensorFlow.

An open source framework for machine learning and other computations on decentralized data.

A Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy.

A language for distributed deep learning, capable of specifying a broad class of distributed tensor computations.

A research framework for fast prototyping of reinforcement learning algorithms.

TRFL (pronounced “truffle”) is a library for reinforcement learning building blocks created by DeepMind.

Makes it easy to store and manipulate data with non-uniform shape, including text (words, sentences, characters), and batches of variable length.

Supports working with Unicode text directly in TensorFlow.

TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on the TensorFlow platform.

Magenta is a research project exploring the role of machine learning in the process of creating art and music.

Nucleus is a library of Python and C++ code designed to make it easy to read, write and analyze data in common genomics file formats like SAM and VCF.

A library from DeepMind for constructing neural networks.

The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution.

Computer Graphics Meets Deep Learning.