A python-based tool to fetch astronomical images 🌌

Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"

SDSS telescopes have captured over 40 TB worth of galaxy images and classification of these images is the first step towards obtaining a deeper understanding of physical processes within them, star formation, and the nature of the universe. Since we could not find an easily accessible dataset for galaxy classification, we compiled a dataset for …

A Bayesian CNN approach to SDSS image data classification

This repository contains the code and data for the Astronomical Object Classification Project. The project focuses on classifying celestial objects (stars, galaxies, and quasars) based on their spectral characteristics using data from the Sloan Digital Sky Survey (SDSS).

Galaxy Classification using CNN

Experiments in galaxy classification using CNNs on data frovided by Kaggle

A galaxy classification program using machine learning.

Unsupervised machine learning algorithm for galaxy classification of Big Data astronomical surveys