It's a shame because it's still the only library out there that provides a good implementation of:
* numerical N-dimensional tensors in the browser
* multiple backends (cpu, webgpu, wasm, webgl)
* autograd
Everyone doing LLM and other ML applications is doing inference only in the browser, and so they are happy with ONNX exports from other frameworks. But this doesn't cover the use case where you want to do optimization in the browser and create custom models in JS/TS. I don't even need all the layer and NN stuff. Just a clean tensor+autograd library with typescript support.
cranberryturkey•6h ago