idris VS accelerate

there're a lot of languages that can target js/wasm these days, some of which are even self-hosting (ghc) and can target browser (ghcjs), a lot are written in haskell which again can target browser but the closest to my request i've found is an old thread of idris supposedely compilable by ghcjs and while there are plenty "run your code in browser (via server compilation)" services i've yet to see a working "running compiler in browser in browser example"

So apparently there's a package manager called Inigo, but there are only a few packages in it. There's an idris-hackers group on github, that's linked from the idris-lang.org page. None of those libraries appear in Inigo though. So seems that Inigo isn't really a thing people are using.

Here's Idris' Nat optimisations

As of 2013, Idris does not want to even support user defined Unicode operators, for the usual reasons.

Someone has opened a PR for accelerate here https://github.com/AccelerateHS/accelerate/pull/525 (sadly seems not actively maintained at the moment, but that can always change if people care enough). I agree for an executable you should freeze your dependencies and compiler version, and using 8.10 is fine. Although there are tons of improvements in 9.2+

Backprop is a neat library. However, I guess its use case is if you actually don't want to go for anything standard like Torch or TF (perhaps for research?) For instance, if I were to use something like Accelerate for GPU acceleration, or some other computation-oriented library, then I would mix it with Backprop. Previously, I have benefited from Backprop in a ConvNet tutorial and I liked it.

Wait, really? Here's a conversation I had with him: https://github.com/AccelerateHS/accelerate/discussions/528

I know Accelerate is being developed at Utrecht University in the Netherlands. You can look at publications by Trevor McDonell to get a taste of what they are doing.

I’m personally a big fan of http://www.acceleratehs.org / https://github.com/AccelerateHS/accelerate-llvm

Looking for a few projects that make use of it, I found accelerate, hawk, polysemy and pretty-simple, so I'll be interested to poke around in their code and see how they have things set up.

There's accelerate for GPU computing and hmatrix for bindings to BLAS and LAPACK.

I'm toying with the idea of replacing vector values with vector generators, where e.g. v1 + v2 is not evaluated to a new vector, but to a vector program. This is similar to the approaches of Accelerate and TensorFlow. On the flip side, I don't think I could get rid of the overhead, and I expect much smaller computation loads than aforementioned libraries, so overheads could be very significant. The added benefit of using vector generators is that the generator could not only be evaluated, but also be turned into a Latex formula.