Building ML framework with Rust and Category Theory
19 hours ago
- #Rust Programming
- #Machine Learning
- #Category Theory
- Introduces a practical, working-draft book that applies category theory concepts to build tiny machine learning (ML) systems using Rust, treating domain objects as Rust types, morphisms as typed transformations, and composition as program structure.
- Coauthored by Hamze Ghalebi, an AI architect focused on production AI systems and Rust, and Farzad Jafarranmani, a researcher specializing in mathematics, logic, and category theory, blending engineering and theoretical foundations.
- Encourages public feedback through GitHub for unclear explanations, broken examples, missing references, and improvements in connecting Rust, ML, and category theory, with specific reporting guidelines.
- Outlines citation and reuse terms: the book is open access online and source code is available on GitHub, but commercial or organizational group reuse (e.g., company workshops, training programs) requires written permission, while individual study and short quotations are allowed with proper citation.