galaxy-morphology
There are 2 repositories under galaxy-morphology topic.
lenstronomy / lenstronomy
multi-purpose lens modeling software package
Language:Python 179vrodgom / statmorph
Python code for calculating non-parametric morphological diagnostics of galaxy images.
Language:Python 40- Language:C++ 32
- Language:Python 31
- Language:Jupyter Notebook 7
obi-wan-shinobi / GalaxyEfficientNets
Official repository of code for "Galaxy Morphology Classification using EfficientNet Architectures"
Language:Jupyter Notebook 7- Language:Python 7
- GaMPEN
aritraghsh09 / GaMPEN
ML framework to estimate Bayesian posteriors of galaxy morphological parameters
Language:Jupyter Notebook 6 BogdanCiambur / PROFILER
This repository contains the code Profiler, a Python program for decomposing galaxy light profiles in 1D
Language:Python 5marinadunn / thesis
Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"
Language:Jupyter Notebook 5perwin / s4g_barfractions
Data files, code, and Jupyter notebooks for paper on frequency of bars in spiral galaxies, using S4G data
Language:Jupyter Notebook 3ufuk-cakir / galaxy-morphology
Repository of my Bachelor Thesis in Physics about Machine Learning Models For Galaxy Morphology
Language:Python 3megk96 / DLGalaxyMorph
Using Deep Learning tools in Galaxy Morphology as part of Inter-University Center for Astronomy and Astrophysics (IUCAA)
Language:Jupyter Notebook 2paulphys / galaxyclass
Galaxy morphology classification with Convolutional Neural Networks
Language:Jupyter Notebook 2Files and Jupyter notebooks for paper on sizes of bars in spiral galaxies, using S4G data
Language:Jupyter Notebook 2- CAE
SpaceMeerkat / CAE
A python based machine learning toolkit for recovering the kinematic disorder of galaxies based on their velocity maps as well as returning an inclination-dependent position angle prediction for further kinematic modelling.
Language:Jupyter Notebook 2 - iagml.github.io
iagml / iagml.github.io
Website do grupo de pesquisa: IAG Machine Learning - Sistemas inteligentes para descoberta em astronomia. Instituto de Astronomia, Geofísica e Ciências Atmosféricas da Universidade de São Paulo - IAG/USP. Para acessar o código fonte do website, acesse: https://github.com/iagml/website. Este repositório possui apenas código gerado.
Language:HTML 1 The Paper for Galaxy Morphology Classification using EfficientNets
Language:TeX 1Yash-10 / merger_non-interacting-galaxies
Using DL (CNNs) and ML (Tree-based methods) on image pixels and other extracted features (eg: FFT) for classification of merger galaxies.
Language:Jupyter Notebook 1mjyb16 / Spectral-Galaxy-Classification
Classifying galaxies based on spectral analysis
Language:Jupyter Notebook 0nmcardoso / ic-reports
Scientific Initiation Reports in Computer Engineering and Astronomy
Language:TeX 0- Language:Python 0
Files and Jupyter notebooks for paper on bar major-axis profiles
Language:Jupyter Notebook 0Files and Jupyter notebooks for paper on frequency and sizes of double bars and nuclear rings in local barred galaxies.
Language:Jupyter Notebook 0rgbarishian / Convolutional-Jelly
Creating a Convolutionional Neural Network to Identify Jellyfish Galaxies
Language:Python 0carlocabras21 / galaxy_morphology_recognition
Testing some methods for recognize the morphology of a galaxy, based only on the images.
Language:MATLABA report on seminar conducted on Galaxy Morphology classification by me in my Junior year at college
Language:TeXPater999 / UNITN-machine-learning-project-2021
Repository contente la mia soluzione al progetto dell'esame di Introduction To Machine Learning svolto nel 2021.
Language:Jupyter NotebookFiles and code for reproducing analysis and figures in Erwin et al. (2020) paper on NGC 4608 and NGC 4643.
Language:Jupyter Notebook
