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

TensorFlow Lite

TensorFlow’s lightweight solution for mobile and embedded devices.

Swift for TensorFlow

Swift for TensorFlow is based on the belief that machine learning is important enough to deserve first-class language and compiler support.

TensorFlow Extended (TFX)

TensorFlow Extended (TFX) is an end-to-end ML platform, spanning from data ingestion, training, to production-grade serving.

TensorFlow Datasets

A collection of datasets ready to use with TensorFlow.

TensorFlow Hub

TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.

TensorFlow Probability

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


XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that optimizes TensorFlow computations.

TensorFlow Research Cloud

Accelerating open machine learning research with Cloud TPUs.


Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

TensorFlow Federated

Machine learning on decentralized data.


Official models and examples built with TensorFlow.


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

Google Colaboratory

A hosted Jupyter notebook environment that is free to use and requires no setup. Used to demonstrate the TensorFlow tutorials.
Dataset Search enables users to find datasets stored across the Web through a simple keyword search. Learn more