Brain.js: GPU Accelerated Neural Networks in JavaScript

• Dannjs

  10 428 0.0 JavaScript

  Discontinued Easy to use Deep Neural Network Library for JavaScript.

• tract

  20 2,046 9.8 Rust

  Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

  

There's also tract, from sonos[0]. 100% rust.

I'm currently trying to use it to do speech recognition with a variant of the Conformer architecture (exported to ONNX).

The final goal is to do it in WASM client-side.

[0] https://github.com/sonos/tract

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• UNN.js

  1 124 0.0 JavaScript

  Deep Learning in JS. Alternative to TensorFlow and ConvNetJS, that is 4x faster.

• Brain.js

  13 14,177 5.7 TypeScript

  🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

  

• gpu.js

  9 14,951 0.0 JavaScript

  GPU Accelerated JavaScript

  

Thanks for pointing this out. I've submitted a PR to resolve this: https://github.com/gpujs/gpu.js/issues/757

That being said, if you're not building from source (you're running an LTS version of node on a supported platform), you don't need to worry about python or many of the build deps.

• wonnx

  18 1,478 6.5 Rust

  A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web

  

Thanks! it looks like the wonnx CLI itself falls back to tract to do inference on CPU if a GPU is not available[0], and it also sounds like setting up llvmpipe/lavapipe on WASM is much harder (if not impossible?) than just shipping tract, so the approach I'll take is probably a wonnx+tract approach.

[0] https://github.com/webonnx/wonnx/issues/116#issuecomment-114...

• ml5-library

  16 6,347 0.0 JavaScript

  Friendly machine learning for the web! 🤖

  

See also: https://ml5js.org/

"The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies."

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