smartcore VS databricks-kube-operator

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.

Here's another example of a custom rust operator, https://github.com/mach-kernel/databricks-kube-operator

Written by a co-worker to help manage our databricks projects across clusters. Works wonderfully!!

So I used kube-rs and came up with this: https://github.com/mach-kernel/databricks-kube-operator