aprender and rusty-machine
About aprender
paiml/aprender
Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust
This project helps machine learning practitioners efficiently manage, train, and deploy AI models. You can take existing models, fine-tune them with your own data, optimize their size, and run them locally or serve them as an API. It's designed for data scientists, ML engineers, and researchers who work with large language models and other AI models.
About rusty-machine
AtheMathmo/rusty-machine
Machine Learning library for Rust
Provides supervised and unsupervised learning algorithms (linear/logistic regression, SVMs, neural networks, k-means, GMMs, etc.) backed by the rulinalg linear algebra library with zero external dependencies. Models implement consistent `train` and `predict` interfaces via `SupModel` and `UnSupModel` traits, allowing customizable optimization algorithms while maintaining ease-of-use defaults.
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