georgehalal

cWGAN-GP

A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties in wide-field surveys

sphericalrht

Spherical harmonic convolutional Hough transform package

academic-kickstart

BayesInfer_DustModel

Bayesian inference of Vansyngel et al. dust model parameters in the BICEP/Keck footprint

DetectNet

Deep learning for modeling the detection probability of galaxies in wide-field surveys

georgehalal.github.io

My personal webpage

Physics89L

pspy

Python power spectrum code

RHT

The Rolling Hough Transform

RL-book