How far along is the ML ecosystem with Rust?

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

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  1. linfa

    A Rust machine learning framework.

    I'm working on machine learning in Rust at Tangram. We currently only provide an implementation of linear models and gradient boosted decision trees but will move into exposing training of deep models in the future. You can check out Tangram here: https://github.com/tangramdotdev/tangram. You may also be interested in checking out Linfa https://github.com/rust-ml/linfa. If you're interested in the future of machine learning in Rust, check out Luca Palmieri's blog post: https://www.lpalmieri.com/posts/2019-12-01-taking-ml-to-production-with-rust-a-25x-speedup/

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. tract

    Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

    tract is an ONNX runner written purely in Rust which will work for most Neural Network inference use cases.

  4. tangram

    Discontinued Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

    I'm working on machine learning in Rust at Tangram. We currently only provide an implementation of linear models and gradient boosted decision trees but will move into exposing training of deep models in the future. You can check out Tangram here: https://github.com/tangramdotdev/tangram. You may also be interested in checking out Linfa https://github.com/rust-ml/linfa. If you're interested in the future of machine learning in Rust, check out Luca Palmieri's blog post: https://www.lpalmieri.com/posts/2019-12-01-taking-ml-to-production-with-rust-a-25x-speedup/

  5. tch-rs

    Rust bindings for the C++ api of PyTorch.

    For deep learning, the Torch binding (tch-rs) are quitte good and will let you both load a model from python and train your own model from scratch in Rust.

  6. friedrich

    A Rust implementation of Gaussian Process regression.

    For other algorithms, there is not yet a single library to rule them all (linfa might become that at some point) but searching for the algorithm you need on crate.io is likely to give you some results (obligatory plug to Friedrich, my gaussian process implementation).

  7. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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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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Did you know that Rust is
the 5th most popular programming language
based on number of references?