I think there are some really neat opportunities to increase the approachability of ML algorithms when you take advantage of the Typescript templating system to explicitly ensure you're not accidentally composing tensors of incorrect shapes.
Unfortunately, my above lib above doesn't yet handle tensors, it's still at the level of individual neurons. Hopefully someday I can bring it further along, use WASM or WebGPU, etc. :)
Thanks for the tip! I will look into your project, for sure! I am still a beginner on Typescript, but when I get the hang of it, I think I might refactor my package to Typescript. Again, thanks for the tip!
Typescript is something you learn progressively over years, and from what others have posted it might not be possible to refactor your package in Typescript (some approaches to problems that are possible in JS aren't supported by TS). But type declarations at the very least should be possible
So yours is SO MUCH MORE fleshed out than mine, but I have a similar (again very fledgling) one going here that uses Typescript:
https://github.com/Marviel/lab-grad
I think there are some really neat opportunities to increase the approachability of ML algorithms when you take advantage of the Typescript templating system to explicitly ensure you're not accidentally composing tensors of incorrect shapes.
Unfortunately, my above lib above doesn't yet handle tensors, it's still at the level of individual neurons. Hopefully someday I can bring it further along, use WASM or WebGPU, etc. :)