smartcore VS Parallel

Today we have released version 0.3 of smartcore: a comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.

we are approaching version 0.3 for our library, that is the minimal Wasi-first version we are going to publish. Some last minute obstacles on generating random numbers: try to disentangle range generators usage so we can have a default feature with fewer external dependencies and wasm32/wasi-ready.

we are developing a ML practitioner-friendly library to help learn Rust mimicking the sklearn API: Smartcore. You can see some examples in these notebooks.

Check out smartcore and linfa. At work I was badly in need of an NMF function similar to MATLAB's one these days but not enough time to write one myself. If you're good at math and machine learning, this sounds like a task you could try tackling.

> Anyway, those three are just off the top of my head, unfairness-wise. Last I looked at the source for GNU parallel it looked like mountains upon mountains of Perl I would rather not depend upon, personally, but to each his own.

Well, there was a Rust version with zero Perl, now unfortunately archived. It wasn't 100% on a par with the original and wasn't really finished. On the other hand, built easily for Windows and helped me on a few occasions.

https://github.com/mmstick/parallel

I would love a rust implemention of gnu parallel (with better license). There was https://github.com/mmstick/parallel , but the author stopped development.