The objective of the miniGAN miniapp is to model performance for training generator and discriminator networks. The GAN's generator and discriminator generate plausible 2D/3D maps and identify fake maps, respectively. Related applications exist in cosmology (CosmoFlow, ExaGAN) and wind energy (ExaWind).
Sandia National Laboratories
Other Related Applications/Codes
GAN, machine learning
Git/SVN Repository URL