Overview
Deep learning pipeline for classifying stars by spectral type / stellar category using standardized survey imagery plus catalog metadata. This page is meant to hold a longer-form project description, results, and links.
Key highlights
A quick snapshot of the most important features and design goals.
- Ingests astronomy catalogs + cutouts (e.g., Gaia / Pan-STARRS workflows).
- Model training + evaluation (confusion matrices, error inspection, etc.).
- Clear outputs that support a “resume-style” project summary.
Links
Primary references and artifacts for this project.