I made a Neural Network library from scratch in Rust trying to solve a regression problem for my university's ML course

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

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  • neural_networks_rust

    Discontinued A Deep Learning and preprocessing framework in Rust with support for CPU and GPU. [Moved to: https://github.com/AnicetNgrt/jiro-nn]

  • You can see the results and some examples on the Github https://github.com/AnicetNgrt/neural_networks_rust

  • Rust_RL

    A Reinforcement Learning / Neural Network library, written in Rust.

  • Nothing wrong with that! I also learned Rust while writing DL/RL algorithms: https://github.com/ZuseZ4/Rust_RL/

  • 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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  • static-la

    Discontinued A linear algebra library with excellent type safety.

  • You can setup BLAS such that a user doesn't need to do anything, it does increase compile time a bit though. https://github.com/JonathanWoollett-Light/static-la is an nalgebra-like library I wrote that uses BLAS by default without any required usersetup.

  • Rust-Keras-Like

    pure rust implementaion for deep learning library like keras

  • Perceptrons

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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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