Getting started with Machine Learning for Rust

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

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  • PyO3

    Rust bindings for the Python interpreter

  • The tactic I would pursue is Python augmented with Rust. This could be achieved either using pyo3 to make Rusty Python libraries or through minimal but optimized CPU only Rust inference code where the initial model training is done in Python (e.g. nnnoiseless).

  • Emu

    The write-once-run-anywhere GPGPU library for Rust

  • https://github.com/calebwin/emu is promising, and const generics just came out, we really need a legit differentiable programming solution, autograd https://crates.io/crates/autograd ?

  • InfluxDB

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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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