tallamjr/astronet
Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series
This project helps astronomers rapidly identify different types of astronomical transients from telescope observations. It takes in multivariate time-series data, which are measurements of celestial objects changing over time and across different light frequencies, and classifies them into known categories. This tool is designed for observational astronomers and astrophysicists who need to quickly process and categorize new transient events.
Use this if you need an efficient way to automatically classify astrophysical transients from multivariate time-series data.
Not ideal if your primary goal is to discover entirely new types of celestial phenomena, rather than categorize existing ones.
Stars
16
Forks
3
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 19, 2025
Commits (30d)
0
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