tractjs
run-wasm
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| tractjs | run-wasm | |
|---|---|---|
| 1 | 1 | |
| 76 | 464 | |
| - | 0.4% | |
| 0.0 | 3.6 | |
| about 1 year ago | about 2 years ago | |
| Rust | TypeScript | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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tractjs
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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-...
run-wasm
What are some alternatives?
neuronika - Tensors and dynamic neural networks in pure Rust.
onnxjs - ONNX.js: run ONNX models using JavaScript
vite-plugin-rsw - 🦞 wasm-pack plugin for Vite
kosmonaut - A web browser engine for the space age :rocket:
video-transcoder - Android app for video and audio transcoder, based on FFmpeg
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)
wasup - A zero-dependency, isomorphic library for emitting WebAssembly
autograph - Machine Learning Library for Rust
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
blurhash-to-css - Convert a BlurHash to a CSS Object using TypeScript, Rust, and WebAssembly.