LiteRT continues the legacy of TensorFlow Lite as the trusted, high-performance runtime for on-device AI. Now with LiteRT Next, we're expanding our vision with a new generation of APIs designed for superior performance and simplified hardware acceleration. Discover what's next for on-device AI.

An Open Source Machine Learning Framework for Everyone

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.

No description provided.

TensorFlow examples

Testing TFLite-C Build and Install issue

No description provided.

No description provided.

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

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

Pretrained models for TensorFlow.js

Examples built with TensorFlow.js

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

TensorFlow documentation

TensorFlow's Visualization Toolkit

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

A flexible, high-performance serving system for machine learning models

TFX is an end-to-end platform for deploying production ML pipelines, Rahul Gaikwad copy

Stores documents used by the TensorFlow developer community