- From: Jiewei Qian <notifications@github.com>
- Date: Tue, 19 Jul 2022 22:25:42 -0700
- To: w3ctag/design-reviews <design-reviews@noreply.github.com>
- Cc: Subscribed <subscribed@noreply.github.com>
- Message-ID: <w3ctag/design-reviews/issues/759@github.com>
Wotcher TAG! I'm requesting a TAG review of Web Machine Learning (WebML) Model Loader API. The WebML Model Loader API is a proposed web API to take a custom, pre-trained machine learning (ML) model in a standard format, and apply it to some data in JavaScript to perform inference, like classification, regression, or ranking. The idea is to make it easy and performant to use a custom, pre-built machine learning model in web apps, across devices and browsers. - Explainer: [explainer.md](https://github.com/webmachinelearning/model-loader/blob/main/explainer.md) - User research: - Security and Privacy self-review²: [security-privacy-self-review.md](https://github.com/webmachinelearning/model-loader/blob/main/security-privacy-self-review.md) - GitHub repo: [webmachinelearning/model-loader](https://github.com/webmachinelearning/model-loader) - Primary contacts: - Jiewei Qian, @wacky6, Google - Honglin Yu, @yuhonglin, Google - Jonathan Bingham, @jbingham, Google - Organization/project driving the design: Google, in collaboration with [Machine Learning for the Web Community Group](https://webmachinelearning.github.io/) - External status/issue trackers for this feature: - [GitHub issues](https://github.com/webmachinelearning/model-loader/issues) - [Chrome Status](https://chromestatus.com/feature/6505078216196096) - [Chromium issue tracker](https://bugs.chromium.org/p/chromium/issues/list?q=component%3ABlink%3EWebML&can=2) Further details: - [x] I have reviewed the TAG's [Web Platform Design Principles](https://www.w3.org/TR/design-principles/) - The group where the incubation/design work on this is being done (or is intended to be done in the future): [Machine Learning for the Web Community Group](https://webmachinelearning.github.io/) - The group where standardization of this work is intended to be done ("unknown" if not known): Same as above - Existing major pieces of multi-stakeholder review or discussion of this design: - [Web Machine Learning WG archive](https://lists.w3.org/Archives/Public/public-webmachinelearning-wg/) - Major unresolved issues with or opposition to this design: - Standardized model format: https://github.com/webmachinelearning/model-loader/issues/28 - GPU / accelerator support and assessing their fingerprint potential - [Some performance benchmark of this API vs TF.js WebAssembly]( https://docs.google.com/presentation/d/1C9s2auF32T28ckTCAZ3Yd-wxSz2syOlEIYtMk57sgR8/edit?usp=sharing) - This work is being funded by: N/A We'd prefer the TAG provide feedback as (please delete all but the desired option): 🐛 open issues in our GitHub repo for **each point of feedback** -- Reply to this email directly or view it on GitHub: https://github.com/w3ctag/design-reviews/issues/759 You are receiving this because you are subscribed to this thread. Message ID: <w3ctag/design-reviews/issues/759@github.com>
Received on Wednesday, 20 July 2022 05:25:55 UTC