miniex/hodu
A machine learning library built with user convenience at its core
Hodu is a machine learning toolkit designed for developers who build high-performance applications. It helps create numerical models by offering memory-safe and efficient operations, taking raw data as input and producing trained models or predictive outputs. This is for software engineers who need to embed robust machine learning capabilities directly into their Rust applications.
108 stars.
Use this if you are a Rust developer building performance-critical machine learning applications and prioritize memory safety and efficient execution.
Not ideal if you are looking for a high-level, drag-and-drop machine learning platform or a Python-based library.
Stars
108
Forks
5
Language
Rust
License
BSD-3-Clause
Category
Last pushed
Feb 13, 2026
Commits (30d)
0
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