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Libraries & extensions

Explore libraries to build advanced models or methods using TensorFlow, and access domain-specific application packages that extend TensorFlow.

Decision Forests

State-of-the-art algorithms for training, serving and interpreting models that use decision forests for classification, regression and ranking.

TensorFlow Hub

A library for reusable machine learning. Download and reuse the latest trained models with a minimal amount of code.

Model Optimization

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

TensorFlow Recommenders

A library for building recommender system models.


A library for flexible, controlled and interpretable ML solutions with common-sense shape constraints.

TensorFlow Graphics

A library of computer graphics functionalities ranging from cameras, lights, and materials to renderers.

TensorFlow Federated

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


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.

TensorFlow Privacy

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

TensorFlow Agents

A library for reinforcement learning in TensorFlow.


A research framework for fast prototyping of reinforcement learning algorithms.

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

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


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

Unicode Ops

Supports working with Unicode text directly in TensorFlow.

TensorFlow Ranking

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.

Neural Structured Learning

A learning framework to train neural networks by leveraging structured signals in addition to feature inputs.

TensorFlow Addons

Extra functionality for TensorFlow, maintained by SIG Addons.

TensorFlow I/O

Dataset, streaming, and file system extensions, maintained by SIG IO.

TensorFlow Quantum

TensorFlow Quantum is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models.

Model Card Toolkit

Streamline and generate Model Cards—machine learning documents that provide context and transparency into a model's development and performance.

Model Remediation

A library to help create and train models in a way that reduces or eliminates user harm resulting from underlying performance biases.

Fairness Indicators

A library that enables easy computation of commonly-identified fairness metrics for binary and multiclass classifiers.


TensorFlow Cloud is a library to connect your local environment to Google Cloud.

TensorFlow Text

A collection of text- and NLP-related classes and ops ready to use with TensorFlow 2.