run-wasm
onnxjs
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| run-wasm | onnxjs | |
|---|---|---|
| 1 | 3 | |
| 464 | 1,565 | |
| 0.4% | - | |
| 3.6 | 4.9 | |
| about 2 years ago | over 2 years ago | |
| TypeScript | TypeScript | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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run-wasm
onnxjs
- Alternatives to tensorflowjs
-
Run WASM, a client side Python runtime
Tensorflow (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
- AppleNeuralHash2ONNX: Convert Apple NeuralHash Model for CSAM Detection to ONNX
What are some alternatives?
vite-plugin-rsw - 🦞 wasm-pack plugin for Vite
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
tractjs - Run ONNX and TensorFlow inference in the browser.
wasup - A zero-dependency, isomorphic library for emitting WebAssembly
AppleNeuralHash2ONNX - Convert Apple NeuralHash model for CSAM Detection to ONNX.
video-transcoder - Android app for video and audio transcoder, based on FFmpeg
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
tensorjs - Deep learning for the Web
blurhash-to-css - Convert a BlurHash to a CSS Object using TypeScript, Rust, and WebAssembly.
hunspell-asm - WebAssembly based Javascript bindings for hunspell spellchecker
sane-wasm - A WebAssembly port of the SANE API.