[D] To what extent can Rust be used for Machine Learning?

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

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  1. neuronika

    Tensors and dynamic neural networks in pure Rust.

    Check where and how this struct is used. https://github.com/neuronika/neuronika/blob/variable-rework/neuronika-variable/src/history.rs

  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. tch-rs

    Rust bindings for the C++ api of PyTorch.

    There's a good quality wrapper for the torch library: https://github.com/LaurentMazare/tch-rs

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?