SomeB1oody/RustyML
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks, and future support for transformer architectures.
This project helps developers build high-performance machine learning models without external dependencies, leveraging Rust's strengths. It takes raw data and configuration parameters as input and outputs trained machine learning models for tasks like classification, regression, clustering, and neural networks. This is intended for backend or systems engineers who need to embed predictive capabilities directly into their Rust applications, especially in performance-critical environments.
337 stars and 74 monthly downloads.
Use this if you are a Rust developer who needs to integrate machine learning or deep learning models directly into your applications, prioritizing performance, memory safety, and avoiding C/C++ dependencies.
Not ideal if you are an end-user practitioner like a data scientist or analyst who primarily works with Python or R and requires a high-level, interactive environment for model experimentation and deployment.
Stars
337
Forks
65
Language
Rust
License
MIT
Category
Last pushed
Feb 20, 2026
Monthly downloads
74
Commits (30d)
0
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