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| 1 | +# SIG Models |
| 2 | + |
| 3 | +## Objective |
| 4 | + |
| 5 | +This group is for discussions and collaborations on enabling community |
| 6 | +contributions to [TensorFlow Model Garden](https://github.com/tensorflow/models) |
| 7 | +and [Tensorflow Hub](https://github.com/tensorflow/hub). |
| 8 | + |
| 9 | +## Scope |
| 10 | + |
| 11 | +See accepted TensorFlow RFC #[314](https://github.com/tensorflow/community/pull/314/) |
| 12 | + |
| 13 | +SIG Models will focus on empowering the community to contribute state-of-the-art |
| 14 | +model implementation in TensorFlow 2. It will benefit the whole community by |
| 15 | +providing recommended implementations and models with reproducible results. |
| 16 | + |
| 17 | +SIG Models will have several subgroups (e.g., SIG Models Vision and SIG Models |
| 18 | +NLP) covering different machine learning areas. There are several SIG leads for |
| 19 | +each group to coordinate the contributions, run community events like contests, |
| 20 | +and maintain the code quality through the review process. Each group has the |
| 21 | +flexibility to operate differently. |
| 22 | + |
| 23 | +SIG Models is also a place for community discussions and sharing best practices of |
| 24 | +using TensorFlow 2 for state-of-the-art research. Furthermore, SIG Models provides |
| 25 | +product feedback to help TensorFlow to be improved. |
| 26 | + |
| 27 | +## Membership |
| 28 | + |
| 29 | +SIG Models is open, membership will be entirely public, and anybody interested |
| 30 | +in model contributions or participating in the discussion can join the SIG. |
| 31 | + |
| 32 | +There are multiple ways to participate: |
| 33 | + |
| 34 | +* Everyone in the community can pick GitHub model tasks and contribute models. |
| 35 | +* They can also join the regular SIG meetings or email groups to participate in |
| 36 | + the discussions. To participate, request an invitation to join the SIG mailing |
| 37 | + list. Archives of the mailing list are publicly accessible. |
| 38 | + |
| 39 | +### Leads |
| 40 | + |
| 41 | +We will identify SIG leads from the community to run the SIG Models groups. |
| 42 | +Initially, we plan to set up the SIG Models Vision group: |
| 43 | + |
| 44 | +* SIG Models Vision leads |
| 45 | + * George Thiruvathukal, [email protected] (Loyola University Chicago) |
| 46 | + * Yung-Hsiang Lu, [email protected] (Purdue University) |
| 47 | +* Co-leads and sponsors from TensorFlow |
| 48 | + * Jaeyoun Kim, [email protected] (TensorFlow Model Garden) |
| 49 | + * Jing Li, [email protected] (TensorFlow Model Garden) |
| 50 | + * Mike Liang, [email protected] (TensorFlow Hub) |
| 51 | + * Shuangfeng Li, [email protected] (TensorFlow Lite) |
| 52 | + |
| 53 | +## Resources |
| 54 | + |
| 55 | +- SIG Models mailing list (to be created); archive will be public |
| 56 | +- Monthly video meeting hosted by rotating SIG leads (to be created); meeting minutes will be published |
| 57 | +- Gitter chat channel (to be created) for discussions |
| 58 | + |
| 59 | +As we have multiple SIG subgroups, each subgroup may run meetings and events |
| 60 | +using different modes of communication, which will be updated here as they are created. |
| 61 | + |
| 62 | +## Contacts |
| 63 | + |
| 64 | +* For SIG questions, contact jaeyounkim at google |
| 65 | +* For administrative questions, contact tf-community-team at google |
| 66 | + |
| 67 | +## Code of Conduct |
| 68 | + |
| 69 | +As with all forums and spaces related to TensorFlow, SIG Models is subject to |
| 70 | +the [TensorFlow Code of |
| 71 | +Conduct](https://github.com/tensorflow/tensorflow/blob/master/CODE_OF_CONDUCT.md). |
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