Rust and ML

Simple introduction into Rust. From Hello World to ML.

Install Rust

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

Overview of Examples

1. rust_intro

• Introduces cargo and rustc commands
• Guides through building a simple program

2. maturin-pyo3

• Introduces building Python modules with Rust
• Illustrates performance benefits of Rust over Python

3. opencv-rs

• More advanced example of using Rust binding for OpenCV C++ API
• Shows examples of imutable (&) and mutable (&mut) borrowing in Rust

4. control-net-rs

• An example of ControlNet in Rust. This example makes use of two ML focused crates:
  • tch-rs: Rust bindings for the PyTorch C++ API
  • diffusers-rs: A Rust implementation of HuggingFace's Diffusers Python library. Written with tch.

5. candle-examples

• Introduces candle, a minimalist ML framework for Rust
• Contains two examples
  • mnist: Builds a simple two-layer model to classify MNIST digits
  • gpt-rs: Rust implementation of Andrej Karpathy's "Let's build GPT" tutorial