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Hi, I'm Avinash Singh!

I'm currently an Assistant Professor at Hiroshima University, Japan. Visit my website to know more.

I'm an Observational Astronomer and Asrophysicist with a passion for Astrophotography.

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Avinash Singh's Projects

alr icon alr

Automated loess regression (ALR) code

aspired icon aspired

Automated SpectroPhotometric Image REDuction (ASPIRED)

astrocats icon astrocats

Astrocats package for constructing astronomical catalogs

astrodash icon astrodash

Deep learning for the automated spectral classification of supernovae

astronomical_techniques icon astronomical_techniques

Introduction to astronomy research featuring short video lectures with (incomplete) Jupyter notebooks

astrorapid icon astrorapid

Real-time Automated Photometric IDentification (RAPID) of astronomical transients using deep learning

astrowidgets icon astrowidgets

*PRE-ALPHA*/heavy dev. Jupyter widgets leveraging the Astropy ecosystem

badass3 icon badass3

Bayesian AGN Decomposition Analysis for SDSS Spectra

braai icon braai

braai [Bogus/Real Adversarial AI]: Real-bogus astrophysical event classification for the Zwicky Transient Facility (ZTF) using deep learning

calclimmag icon calclimmag

Python Script for computing Limiting Magnitude given the Sky Brightness Measurements

crisp icon crisp

Webpage of the CRISP project

delight icon delight

Deep Learning Identification of Galaxy Hosts in Transients

dis icon dis

Material from wokshop on Data Intensive Science in IUCAA, Pune held during 13th-18th Feb, 2017

dotfiles icon dotfiles

Configuration files for shell (bash, zshell), vim, tmux, git and powerline.

empca icon empca

Principal Component Analysis (PCA) for Missing and/or Noisy Data

flyingcircus icon flyingcircus

Collection of python notebooks for our summer python tutorial sessions

george icon george

Fast and flexible Gaussian Process regression in Python

gitpipe icon gitpipe

Photometry and Template Subtractions scripts for GROWTH-India Telescope

gwskynet icon gwskynet

GWSkyNet is a binary CNN classifier for gravitational-wave candidates. This repository contains the published model together with instructions on how to use the classifier. The input is a sky map FITS file from BAYESTAR, which can be found on GraceDB for real gravitational-wave candidates.

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