CHch_sm·Jul 7, 2022
also ONNX.js, which is great for interop: https://github.com/microsoft/onnxjs
In Brain.js: GPU Accelerated Neural Networks in JavaScriptmicrosoft
onnxjs
TypeScript2018–2022
microsoft / onnxjs · Archived
onnxjs
ONNX.js: run ONNX models using JavaScript
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1.8KGitHub stars
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ONNX.js: run ONNX models using JavaScript
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.
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Observed mentions: 2018-11-30 07:21:06 UTC to 2022-07-07 16:25:07 UTC.
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| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
7 sourcesTensorflow (and by extension Keras) offload most of the actual work to C++ or C, so having those compile to WebAssembly would (I imagine) be a herculean effort.
Instead, The TF team maintains TFJS, which can run on WebAssembly[0].
There are also tractjs[1], and onnyxjs[2], both of which allow you to run (most) ONNX models (which is an open standard for specifying ML models) using WebAssembly and WebGL(only onnyxjs supports WebGL). A bunch of frameworks (caffe, pytorch, TF) support exporting to/importing from ONNX.
[0] https://blog.tensorflow.org/2020/03/introducing-webassembly-...
[1] https://github.com/bminixhofer/tractjs
[2] https://github.com/microsoft/onnxjs
In Run WASM, a client side Python runtimeOnnx has really poor support by microsoft. I suspect they've basically abandoned it internally (their onnxjs variant is orders of magnitude slower than tfjs[1]). It's a good 'neutral standard' for the moment but we should all eventually probably move away from it long term.
[1] https://github.com/microsoft/onnxjs/issues/304
In Convert Apple NeuralHash model for CSAM Detection to ONNXYes. Could be that you have to check what operators is available when you move from one framework to another using ONNX. One example is ONNX.js that make it possible to run the model using JavaScript, made by Microsoft. If the operator is not available (ex. ArgMax for WebGL) you have to switch to something equivalent and retrain. List of supported operators for ONNX.js:
https://github.com/microsoft/onnxjs/blob/master/docs/operato...
In Convert Apple NeuralHash model for CSAM Detection to ONNXLooks alot like https://github.com/microsoft/onnxjs but onnx.js adds multithreading by web workers which will tske a long time to be available on wasm
In Supercharging TensorFlow.js with SIMD and multi-threadingFast In-Browser Inference with ONNX.js, WebAssembly and WebGL
4 points · Open discussionMicrosoft open-sources ONNX.js
3 points · Open discussion