/GAN-tutorial

Hands-on tutorial to get started with Generative Adversarial Networks (GANs)

Primary LanguageJupyter NotebookBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

GAN-tutorial

Hands-on tutorial to get started with Generative Adversarial Networks (GANs)

Goal is to train GANs to generate galaxy cluster images at X-ray wavelengths.

Binder here: Binder

Additional saved LSGAN model here: https://cloud.hs.uni-hamburg.de/s/Syq84Zwo7CC3adm

Training data is taken from Comparat et al. 2020 (arXiv:2008.08404); it is retrievable here: https://www2011.mpe.mpg.de/~comparat/eROSITA_mock/

For questions please contact: cosmo@caroline-heneka.de

Credits for code development: Jörn Bach, Caroline Heneka