Scalable inference for a generative model of astronomical images
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Updated
Sep 18, 2021 - Jupyter Notebook
Scalable inference for a generative model of astronomical images
Astronomy Library for C++
automated photometry pipeline for small to medium-sized observatories
Deep Learning Based Cosmic Ray Removal for Astronomical Images
piXedfit is a Python package designed for analyzing spatially resolved SEDs of galaxies
GPU Framework for Radio Astronomical Image Synthesis
A CIFAR10-like galaxy image dataset
Nasa Astronomical picture of the Day Desktop Wallpaper Changer.
A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images
A image classifier that classifies whether a galaxy is spiral, elliptical, or irregular. Built using Tensorflow v2 and Google's inception v3 model.
Wordpress Astrometry.net Plugin
Automatically locates stars and performs square-aperture photometry. FITS files in, magnitudes out.
This project is intended to produce images composed of 16x16 pixel clusters of space images mostly from by Hubble Space Telescope. The algorithm is written in Python using Flask which returns the base 64 image, and the frontend is developed in React JS.
An open-source & modular reduction pipeline for astronomical images of point sources.
Using Kadane's Algorithm to find the brightest area in Astronomical images. Using concept of maximum contiguous subarray to find the area with highest sum and thus using opencv and finding the brightest area, applying on image and video.
Exploratory data analysis and ML projects based on Astronomical data (Space Images)
A selenium webscraper for automated download of the Hi-GAL data products.
Astronomy Class Library
Applied Space Science with Python
reducing shot noise using regional fourier transforms
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