RFC: Creating SIG Models

rfcs/20201023-sig-models.md

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+# Creating SIG Models
+
+| Status        | Proposed                                             |
+:-------------- |:---------------------------------------------------- |
+| **RFC #**     | 314                                                  |
+| **Author(s)** | Jaeyoun Kim ([email protected]), Jing Li ([email protected]), Mike Liang ([email protected]), Shuangfeng Li ([email protected]) |
+| **Sponsor**   | Thea Lamkin ([email protected])                  |
+| **Updated**   | 2020-10-30                                           |
+
+## What is this group for?
+
+This group is for discussions and collaborations on enabling community
+contributions to [TensorFlow Model Garden](https://github.com/tensorflow/models)
+and [Tensorflow Hub](https://github.com/tensorflow/hub).
+
+SIG Models will focus on empowering the community to contribute state-of-the-art
+model implementation in TensorFlow 2. It will benefit the whole community by
+providing recommended implementations and models with reproducible results.
+
+SIG Models will have several subgroups (e.g., SIG Models Vision and SIG Models
+NLP) covering different machine learning areas. There are several SIG leads for
+each group to coordinate the contributions, run community events like contests,
+and maintain the code quality through the review process. Each group has the
+flexibility to operate differently.
+
+SIG Models is also a place for community discussions and sharing best practices of
+using TensorFlow 2 for state-of-the-art research. Furthermore, SIG Models provides
+product feedback to help TensorFlow to be improved.
+
+## Who will be part of it?
+
+SIG Models are open, membership will be entirely public, and anybody interested
+in model contributions or participating in the discussion can join the SIG.
+There can be different ways to participate:
+
+* Everyone in the community can pick GitHub model tasks and contribute models.
+* They can also join the regular SIG meetings or email groups to participate in
+  the discussions. To participate, request an invitation to join the SIG mailing
+  list. Archives of the mailing list are publicly accessible.
+
+We will identify SIG leads from the community to run the SIG Models groups.
+Initially, we plan to set up the SIG Models Vision group:
+
+* SIG Models Vision leads
+  * George Thiruvathukal, [email protected] (Loyola University Chicago)
+  * Yung-Hsiang Lu, [email protected] (Purdue University)
+* Co-leads and sponsors from TensorFlow
+  * Jaeyoun Kim, [email protected] (TensorFlow Model Garden)
+  * Jing Li, [email protected] (TensorFlow Model Garden)
+  * Mike Liang, [email protected] (TensorFlow Hub)
+  * Shuangfeng Li, [email protected] (TensorFlow Lite)
+
+## What initial problems will the group tackle?
+
+We will start with the SIG Models Vision group. Initially, the group leads will
+run a contest to motivate the community to contribute state-of-the-art computer
+vision models using TensorFlow 2. 
+
+For example:
+
+* Define/release model implementation tasks, rules, and evaluation criteria for
+  the contest
+* Review initial submissions and provide more support for selected high-quality
+  submissions
+* Review final submissions and announce results
+
+## What modes of communication do you intend to use?
+
+We plan to have a mailing list
+([[email protected]](https://groups.google.com/a/tensorflow.org/forum/#!forum/models)),
+arrange a regular (e.g., monthly) video conference call rotated by the SIG
+leads. We will also use a Gitter chat channel
+(https://gitter.im/tensorflow/sig-models) for discussions.
+
+As we have multiple SIG subgroups, each subgroup may run meetings and events
+using different modes of communication.
+
+## Launch plan
+
+* Video conference calls with initial interested parties to finalize the charter
+* SIG set up with initial group members
+* SIG added to community pages on tensorflow.org
+* SIG leads and sponsors start discussions about initial work items
+* Write a blog post about the SIG Models with the initial achievements and
+  welcome more members
+
+## Code of Conduct
+
+As with all forums and spaces related to TensorFlow, SIG Models is subject to
+the [TensorFlow Code of
+Conduct](https://github.com/tensorflow/tensorflow/blob/master/CODE_OF_CONDUCT.md).