Jonas Adler

learned_primal_dual. Learned Primal-Dual Reconstruction

learned_gradient_tomography. Solving ill-posed inverse problems using iterative deep neural networks

minimal_wgan. A minimal implementation of Wasserstein GAN

minimal_vae. A minimal implementation of an Variational Auto-Encoder

bwgan. 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 tensorflow

GPUMC. Mirror from google code https://code.google.com/archive/p/mcgpu/

spectral_ct_examples. Python

adler. General python utilities

mfcm_article. Code for the paper "A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images"

goettingen_dl_course_2018. Deep Learning course in Göttingen April 2018

multiscale_dense. Efficient implementation of multiscale dense networks

odl-stem-examples. Examples of STEM tomography using ODL

deep_bayesian_inversion.

lie_grp_diffeo. Diffeomorphisms based on lie groups

invertible_gln. Python

odl. Operator Discretization Library

tensordata. Public datasets for Tensorflow

learned_matrix_inverse_problems. TeX

odl-examples. Examples for the ODL package