tensorflow

tensorflow

An Open Source Machine Learning Framework for Everyone

models

Models and examples built with TensorFlow

tfjs

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

tfjs-models

Pretrained models for TensorFlow.js

playground

Play with neural networks!

examples

TensorFlow examples

tfjs-examples

Examples built with TensorFlow.js

serving

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

docs

TensorFlow documentation

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

probability

Probabilistic reasoning and statistical analysis in TensorFlow

lingvo

Lingvo

graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

tflite-micro

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

quantum

An open-source Python framework for hybrid quantum-classical machine learning.

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

model-optimization

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

gnn

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

text

Making text a first-class citizen in TensorFlow.

compression

Data compression in TensorFlow

runtime

A performant and modular runtime for TensorFlow

io

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

decision-forests

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

recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

tfjs-wechat

WeChat Mini-program plugin for TensorFlow.js

tflite-support

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

mlir-hlo

cloud

The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

tfjs-website

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

sig-tfjs