Better Radial velocities from Stellar Spectroscopy via Machine Learning
Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series
Morphological segmentation of Galaxies
The repository for the course "Astroinformatics" offered at Institute of Astronomy, National Central University, from Sep/2022 to Jan/2023.
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.
A repository outlining the different feature extraction methods we explored in a summer internship in 2021 for RESSPECT.
Variable Star Signature Classification using Slotted Symbolic Markov Modeling
Open source book on "All things Astroinformatics"
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"
O'Connell Effect Detector using Push-Pull Learning
Scripts for analyzing NEID Sun-as-a-star observations using RVSpectML
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
Final project for Data Mining course (Uniba)
An ontology representing the outer space environment.
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…
The initial analysis of LINEAR data using supervised classification methods.
An ontology representing the domain of space weather
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