Learn Rust as ML practitioner

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning

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

  • smartcore-jupyter

    Experiment with Smartcore using Jupyter Notebooks

  • 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.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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