Pinned repositories
Repositories
-
quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
-
tensorflow
An Open Source Machine Learning Framework for Everyone
-
tfx
TFX is an end-to-end platform for deploying production ML pipelines
-
models
Models and examples built with TensorFlow
-
compression
Data compression in TensorFlow
-
federated
A framework for implementing federated learning
-
-
tensorboard
TensorFlow's Visualization Toolkit
-
community
Stores documents used by the TensorFlow developer community
-
text
Making text a first-class citizen in TensorFlow.
-
java
Java bindings for TensorFlow
-
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.
-
datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
-
tfx-addons
TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The projects are organized under the auspices of the special interest group, SIG TFX-Addons. Join the group at http://goo.gle/tfx-addons-group
-
serving
A flexible, high-performance serving system for machine learning models
-
metadata
Utilities for passing TensorFlow-related metadata between tools
-
neural-structured-learning
Training neural models with structured signals.
-
recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
-
model-analysis
Model analysis tools for TensorFlow
-
probability
Probabilistic reasoning and statistical analysis in TensorFlow
-
data-validation
Library for exploring and validating machine learning data
-
-
lucid
A collection of infrastructure and tools for research in neural network interpretability.
-
recommenders-addons
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
-
runtime
A performant and modular runtime for TensorFlow
-
tflite-support
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
-
model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
-
tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.