Library for exploring and validating machine learning data
Repositories
tensorflow repositories
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Integration of TensorFlow with other open-source frameworks
Haskell bindings for TensorFlow
A library for transfer learning by reusing parts of TensorFlow models.
Models and examples built with TensorFlow
Training neural models with structured signals.
TensorFlow Neural Machine Translation Tutorial
Play with neural networks!
Library for training machine learning models with privacy for training data
An open-source Python framework for hybrid quantum-classical machine learning.
Swift for TensorFlow Project Home Page
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
An Open Source Machine Learning Framework for Everyone
A WebGL accelerated JavaScript library for training and deploying ML models.
Examples built with TensorFlow.js
Pretrained models for TensorFlow.js
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).