smartcore VS smartcore-jupyter

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.

Easiest way to get the feeling are the Jupyter Notebooks but also the documentation.

Hi, we are developing a library for ML in Rust that leverages a "pythonic" interface. This can be used by practitioners with Python background to get into Rust. You can see examples in notebooks in this repository.

ndarray bindings are already in place, see here. We also had nalgebra but we decided to focus on one integration so to give a clear decision to the users. We are going to take technical decisions about what to support according to the experience we will gather, community first. Please read follow the issues for the options under investigation about integrating existing solutions.

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.