rusty-machine
A general-purpose machine learning library for Rust, focusing on speed and ease of use with minimal dependencies.
What is rusty-machine?
Rusty-machine is a machine learning library written in Rust that provides implementations of common algorithms like linear regression, neural networks, and clustering. It aims to offer a balance between computational speed and developer accessibility, with minimal external dependencies. The project serves as both a practical tool and an educational resource for learning Rust and ML techniques.
Rust developers interested in experimenting with machine learning algorithms, or those building ML applications where Rust's performance and safety are priorities. It's also suitable for contributors looking to help develop an early-stage open-source ML library.
Developers choose Rusty-machine for its pure Rust implementation, which avoids heavy dependencies and leverages Rust's performance. Its design focuses on customizable yet easy-to-use models, making it a flexible choice for prototyping and learning in the Rust ecosystem.
Overview
Machine Learning library for Rust
Use Cases
Best For
- Learning machine learning concepts while practicing Rust programming
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