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learned_primal_dual
Learned Primal-Dual Reconstructionlearned_gradient_tomography
Solving ill-posed inverse problems using iterative deep neural networksminimal_wgan
A minimal implementation of Wasserstein GANminimal_vae
A minimal implementation of an Variational Auto-Encoderbwgan
Code for the paper "Banach Wasserstein GAN"wasserstein_inverse_problems
Code for the article "Learning to solve inverse problems using Wasserstein loss"tfdeform
Utilities to create random deformations in tensorflowadler
General python utilitiesmfcm_article
Code for the paper "A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images"spectral_ct_examples
odl-stem-examples
Examples of STEM tomography using ODLGPUMC
Mirror from google code https://code.google.com/archive/p/mcgpu/multiscale_dense
Efficient implementation of multiscale dense networksgoettingen_dl_course_2018
Deep Learning course in Gรถttingen April 2018lie_grp_diffeo
Diffeomorphisms based on lie groupsdeep_bayesian_inversion
learned_matrix_inverse_problems
tensordata
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