webnn
py2wasm
webnn | py2wasm | |
---|---|---|
6 | 1 | |
316 | 51 | |
1.9% | - | |
9.3 | 0.0 | |
6 days ago | 28 days ago | |
Bikeshed | ||
GNU General Public License v3.0 or later | Apache License 2.0 |
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webnn
- Py2wasm – A Python to WASM Compiler
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Ask HN: What's the idea behind the WebNN API?
The WebNN API will make it possible to run AI models in the browser: https://www.w3.org/TR/webnn/
The idea of having AI in browsers (see the "Application Use Cases") seems cool, but on the other hand, the idea of downloading & storing large models for each website/webapp seems terrible.
It seems to me that it would make more sense to have models built into browsers, and to have a web API that provides standardized ways to interact with the underlying models of each browser. From what I have understood from the WebNN spec, though, despite listing out all of the cool use-cases, the API doesn't seem intended to provide higher level functionality than loading, running & performing operations on a model.
Is my understanding of the API right, or is there something else that uses it to make these use-cases available in browsers?
- Deno 1.39: The Return of WebGPU
- W3C Candidate Recommendation Draft: Web Neural Network API
- WebNN: Web Neural Network API
py2wasm
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Py2wasm – A Python to WASM Compiler
So I had a look at the repo/branches at https://github.com/wasmerio/py2wasm. This might be a nit, but in the spirit of OSS: if I'd done this work, I'd have contributed it to upstream Nuitka, I would not have forked a whole new GitHub repo and given it a completely different name.
What's the rationale for creating a new project and calling it py2wasm? Am I missing something?