@misc{https://doi.org/10.4121/3469c879-f443-4fcf-83a2-b6df56e96714.v1,
  doi = {10.4121/3469c879-f443-4fcf-83a2-b6df56e96714.v1},
  url = {},
  author = {Rongier, Guillaume and Peeters, Luk},
  keywords = {Python, deep learning, PyTorch, GAN, deep generative modelling, GAN inversion, stratigraphic modeling},
  title = {FluvGAN: Python scripts to test generating and inverting fluvial deposits using GANs},
  publisher = {4TU.ResearchData},
  year = {2025},
  copyright = {MIT},
}