Topic: sdss Goto Github
Some thing interesting about sdss
Some thing interesting about sdss
sdss,Empirical PSFs of GALEX, SDSS, and 2MASS
User: aabdurrouf
sdss,SDSS observer graphical interface
User: albireox
Home Page: https://albireox.github.io/boson/
sdss,Using machine learning to predict the mass of quasar supermassive black holes
User: andrewwren
sdss,TensorFlow implementations of a Restricted Boltzmann Machine and an unsupervised Deep Belief Network, including unsupervised fine-tuning of the Deep Belief Network.
User: annikalindh
sdss,Double Nuclei Galaxy Finder from SDSS. Check https://arxiv.org/abs/2011.12177
User: anuwu
sdss,GaMorNet is a CNN based on AlexNet to classify galaxies morphologically
User: aritraghsh09
Home Page: http://www.astro.yale.edu/aghosh/gamornet.html
sdss,Retrieve and analysis data from SDSS (Sloan Digital Sky Survey)
User: behrouzz
sdss,Repo for a Data analysis project to find Distances, Luminosities, Fluxes, Star Formation Rates, and WISE image processing for galaxies in the MaNGA survey.
User: berres2002
sdss,Personal Python and IDL codes to deal with MaNGA data
User: dr-guangtou
sdss,Photometric analysis of SDSS images
User: dr-guangtou
sdss,IDL procedures to deal with SDSS spectra
User: dr-guangtou
sdss,Modeling tools for SDSS/APOGEE spectra
User: jbirky
Home Page: http://apogee-tools.readthedocs.io/
sdss,Using SDSS imaging to predict galaxy metallicity. Maintained by @jwuphysics @boada
User: jwuphysics
Home Page: https://arxiv.org/abs/1810.12913
sdss,Estimating galaxy gas mass fractions using SDSS imaging
User: jwuphysics
Home Page: https://arxiv.org/abs/2001.00018
sdss,Repository for ASP Undergraduate Thesis
User: kushaljain007
sdss,Calculate Anomalously Low Metallicity (ALM) spaxels and galaxies using MaNGA data. Find the relation between HI gas and ALM.
User: lalalabox
Home Page: https://nbviewer.jupyter.org/github/Arm-lalala/Metallicity-deviation/tree/master/
sdss,Translation and optimisation of SEDMORPH's PawlikMorph IDL code for analysing images of galaxies from SDSS data release 7
User: lewisfish
sdss,A tutorial on classification and photometric redshift regression of astronomical sources using supervised machine learning techniques.
User: mofokeng-chaka
sdss,This project is a full machine learning pipeline for Star/Galaxy classification using the SDSS dataset. It also contains a detailed report on the development and a DockerFile to easily replicate the results.
User: noahruhmer
sdss,Phosphorpy is python package to mine multiple databases with astronomical data
User: patrickrauer
sdss,Tutorial notebooks of the course "Introduction to AGNs" at the University of Belgrade in Spring 2023. Instructors: Dragana Ilic, Isidora Jankov
User: ridha-mm
Home Page: https://github.com/cefeida42/mass-agn
sdss,Risk Changes SDSS development page
Organization: riskchanges
sdss,This repo is for the documentation of the SDSS project
Organization: riskchanges
Home Page: https://sdss-documentation.readthedocs.io/
sdss,Image API implementation for acquiring SDSS image based on location
User: salmanhiro
sdss,The SDSS Python template and coding standards.
Organization: sdss
Home Page: http://sdss-python-template.readthedocs.io/en/latest/
sdss,Classify stars, galaxies, and quasars with SDSS DR16 data. Balanced dataset using resampling techniques improves AdaBoost classifier's performance, enhancing astronomical object classification accuracy.
User: soumyajit2709
sdss,Curve fitting routines for astrophysical (SDSS) spectrographs
User: spyphyz
sdss,A selection of workbooks to analsyse SDSS data
User: spyphyz
sdss,Research on reprocessed forced photometry light curves from SDSS Stripe 82
User: suberlak
sdss,Dipp - distributed image processing pipeline with various distribution methods
User: tasemo
sdss,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).
User: thecoderpinar
Home Page: https://www.kaggle.com/datasets/fedesoriano/stellar-classification-dataset-sdss17
sdss,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:
User: tjmetivier
Home Page: https://tjmetivier.github.io/illustrisvirtualobservatory/
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