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 obje…

This repository contains all the code (in the form of Jupyter Notebooks) to reproduce the results in our paper, "Light Curve Classification with DistClassiPy: a new distance-based classifier"