EON-023 ML Model Registry
What it is
A full-stack application for managing ML models, experiments, and metrics, built with a Rust (Axum) backend and React frontend. It provides a RESTful API and web interface to track model versions, training runs, and associated artifacts using SQLite.
The problem it solves
Lack of a lightweight, self-hosted tool for tracking ML model versions, experiment runs, and metrics without relying on heavy commercial SaaS solutions.
What you could use it for
- Tracking hyperparameters and results for machine learning experiments
- Versioning and managing ML model artifacts
- Logging and querying real-time training metrics
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.