Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series

The repository for the course "Astroinformatics" offered at Institute of Astronomy, National Central University, from Sep/2022 to Jan/2023.

Better Radial velocities from Stellar Spectroscopy via Machine Learning

Morphological segmentation of Galaxies

Jupyter notebooks for the EL4106 "Computational Intelligence" and AS4501 "Astroinformatics" courses at Universidad de Chile

TensorFlow implementations of a Restricted Boltzmann Machine and an unsupervised Deep Belief Network, including unsupervised fine-tuning of the Deep Belief Network.

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"

A repository outlining the different feature extraction methods we explored in a summer internship in 2021 for RESSPECT.

The aim of this Bachelor's degree final thesis is to investigate the basics of Deep Learning and to dig into the neuronal networks in order to apply them to the morphological classification of distant galaxies according to their visual appearance and the detention of these galaxies' edges. For it, I used Python language along with the Deep Learn…

Variable Star Signature Classification using Slotted Symbolic Markov Modeling

Open source book on "All things Astroinformatics"

O'Connell Effect Detector using Push-Pull Learning

A repository code of my undergraduate thesis work entitled "Penggunaan DNN dalam pengukuran pergeseran merah fotometrik menggunakan citra galaksi: Studi Awal"

Double Nuclei Galaxy Finder from SDSS. Check https://arxiv.org/abs/2011.12177

Coursework written for: Astroinformatics – Astrostatistics and Machine Learning in Astronomy, MASS course offered at the University of Belgrade

Scripts for analyzing NEID Sun-as-a-star observations using RVSpectML

Final project for Data Mining course (Uniba)

An ontology representing the outer space environment.

The initial analysis of LINEAR data using supervised classification methods.

*The AstroInformatic*