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GitHub / LSST-sersag / dle
Developing deep learning engines (DLEs) for non-parametric modeling and extracting of information from active galactic nuclei (AGN) light-curves (LCs), which are directly related to the scientific objectives of the LSST Exploring transient optical sky. Developed DLEs Jupyter notebooks might be adaptable for modeling of light-curves of other objects, and will be tested on LSST Data Previews, as well as on other datasets through NOIRLab services.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LSST-sersag%2Fdle
Stars: 3
Forks: 3
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 38.8 MB
Dependencies: pending
Created: about 3 years ago
Updated: over 1 year ago
Last pushed: almost 2 years ago
Last synced: about 1 year ago
Topics: jupyter-notebooks, light-curves, lsst, phd-students