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Join the TensorFlow Special Interest Groups (SIGs)

↗ Quelle (blog.tensorflow.org)
🗣️ Stimme:

Posted by Joana Carrasqueira, TensorFlow Program Manager and Thea Lamkin, Open Source Program Manager, in collaboration with TensorFlow SIG Leads.


, and we now have (ML GDEs). TensorFlow's success is due in large part to the hard work and contributions of our vibrant community. We welcome contributors to join the SIGs working on the parts of TensorFlow's ecosystem they are most excited to collaborate on. Here is an overview of the SIGs and their areas of focus, contributed by their leads:

SIG Addons

In a fast-moving field like Machine Learning, there are many new developments that cannot be integrated into core TensorFlow. SIG Addons was created to tackle this problem by maintaining a repository of bleeding edge contributions that conform to well-established API patterns, but implement new functionality not available in core TensorFlow and adopted some of the parts of , join the conversation at our monthly , join the conversation at our monthly , and added , join the conversation at our monthly , join the conversation at our monthly , join the conversation at our bi-monthly , join the conversation at our monthly , join the conversation at our monthly , join the conversation at our monthly , join the , join the conversation at our monthly meeting.

SIG Swift

The purpose of SIG Swift is to host design reviews, discuss upcoming API changes, share project roadmap, and encourage collaboration in the , join the conversation at our monthly ; and encourage community improvements to TensorBoard.

To contribute to TensorFlow .

SIG TF.js (New!)

SIG TF.js was created to facilitate community-contributed components to tensorflow/tfjs (and potential community-maintained libraries). The core TensorFlow.js engineering team has been working on building the infrastructure and tooling to enable ML to run in JavaScript powered applications, and has an active contributor community of individual developers, GDEs, and enterprise users. We want to accelerate the community involvement in the project to help continue meet the needs and help drive new directions for the project.

To contribute to TensorFlow .

Thank you to our SIG Leads for their work and leadership:

Picture: 1st TensorFlow Contributor Summit, Santa Clara, 2019.
Picture: 1st TensorFlow Contributor Summit, Santa Clara, 2019.

Sean Morgan, Tzu-Wei Sung | SIG Addons

Jason Zaman, Austin Anderson | SIG Build

Yong Tang, Anthony Dmitriev, Derek Murray | SIG IO

Karl Lessard, Adam Pocock, Rajagopal Ananthanarayanan | SIG JVM

Francois Chollet | SIG Keras

Neil Tan, Pete Warden | SIG Micro

Tatiana Shpeisman, Pankaj Kanwar | SIG MLIR

Bairen Yi, Jeroen Bedorf | SIG Networking

Bo Liu, Haidong Rong, Yong Li, Wei Wei | SIG Recommenders

Adam Crume | SIG Rust

Ewa Matejska | SIG Swift

Mani Varadarajan, Gal Oshri | SIG TensorBoard

Sandeep Gupta, Ping Yu | SIG TF.js

Vollständiger Original-Bericht
Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf blog.tensorflow.org.
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