Data access and visualization for MaNGA. http://sdss-marvin.readthedocs.io/en/latest/
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Jun 16, 2025 - Python
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Estimating galaxy gas mass fractions using SDSS imaging
computer-vision astronomy convnet pytorch convolutional-neural-networks galaxy fastai sdss galaxy-evolution convnets alfalfa sdss-imaging
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Nov 30, 2020 - Jupyter Notebook
Using SDSS imaging to predict galaxy metallicity. Maintained by @jwuphysics @boada
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Jan 3, 2020 - Jupyter Notebook
Retrieve and analysis data from SDSS (Sloan Digital Sky Survey)
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Nov 1, 2023 - Python
SDSS observer graphical interface
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Sep 1, 2025 - TypeScript
The SDSS Python template and coding standards.
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Feb 27, 2026 - Python
A tutorial on classification and photometric redshift regression of astronomical sources using supervised machine learning techniques.
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Nov 12, 2021 - Jupyter Notebook
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).
github open-source data-science machine-learning astronomy data-visualization classification spectral-analysis sdss space-exploration galaxy-classification sky-survey
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Sep 10, 2023 - Jupyter Notebook
Using machine learning to predict the mass of quasar supermassive black holes
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Dec 13, 2020 - Jupyter Notebook
Curve fitting routines for astrophysical (SDSS) spectrographs
python astronomy gaussian curve-fitting astrophysics scipy sherpa astropy powerlaw sdss spectrograph
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Apr 29, 2018 - Jupyter Notebook
TensorFlow implementations of a Restricted Boltzmann Machine and an unsupervised Deep Belief Network, including unsupervised fine-tuning of the Deep Belief Network.
machine-learning research astronomy tensorflow deep-belief-network sdss multiclass-classification paper-implementations random-forest-classifier astroinformatics
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Apr 1, 2017 - Python
FIREFLY is a chi-squared minimisation full fitting code for deriving stellar population properties from spectra. It fits combinations of single-burst stellar population models using the Bayesian Information Criterion and returns light- and mass-weighted ages, metallicities, dust attenuation, stellar mass, and star formation histories.
python manga astrophysics galaxies spectra spectroscopy spectral-analysis spectral-data sdss desi stellar-populations astromomy stellar-population-properties spectral-fitting full-spectral-fitting galaxy-spectra
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Feb 24, 2026 - Python
The Illustris Virtual Observatory is an expanded iteration of the Sunpy module(ptorrey) for creating synthetic SDSS, HST, or JWST images of galaxies from the Illustris simulation. For instructions on how to install/use this program, please go to this address:
simulation nasa synthetic-images cosmology galaxies sunpy hst sdss illustris mock-observation ctspacegrantconsortium
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Apr 13, 2020 - Python
A selection of workbooks to analsyse SDSS data
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Apr 29, 2018 - Jupyter Notebook
GaMorNet is a CNN based on AlexNet to classify galaxies morphologically
machine-learning astronomy tensorflow neural-networks astrophysics galaxies convolutional-neural-networks tflearn morphological-analysis sdss candels
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Jun 30, 2022 - Jupyter Notebook
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