feca
tractjs
feca | tractjs | |
---|---|---|
1 | 1 | |
12 | 76 | |
- | - | |
5.3 | 0.0 | |
9 months ago | over 1 year ago | |
Rust | Rust | |
MIT License | GNU General Public License v3.0 or later |
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feca
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-...
[1] https://github.com/bminixhofer/tractjs
[2] https://github.com/microsoft/onnxjs
What are some alternatives?
rookie - Load cookies from your web browsers
neuronika - Tensors and dynamic neural networks in pure Rust.
Servo - Servo, the embeddable, independent, memory-safe, modular, parallel web rendering engine
run-wasm - Run WASM based code executions in the browser easily
extism - The framework for building with WebAssembly (wasm). Easily load wasm modules, move data, call functions, and build extensible apps.
kosmonaut - A web browser engine for the space age :rocket:
onnxjs - ONNX.js: run ONNX models using JavaScript
onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
autograph - Machine Learning Library for Rust
dpar - Neural network transition-based dependency parser (in Rust)
steelix - Your one stop CLI for ONNX model analysis.