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2020-siims-acceleratingmcmcmethods

Here you can find MATLAB/PYTHON code to replicate some of the results found in the paper: "Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method", Marcelo Pereyra, Luis Vargas Mieles, and Konstantinos C. Zygalakis, Volume 13, Issue 2, pages 905-935, https://epubs.siam.org/doi/abs/10.1137/19M1283719

convex_ridge_regularizers

ddrm-fork

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

dpir-fork

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

equivariant_bootstrap

Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems, AISTATS24 Oral

joint-demosaicing-denoising-sem

Demo Code for the paper "Joint Demosaicing and Denoising Based on Sequential Energy Minimization"

lmmo_lightning

mcmc-methods-for-low-photon-imaging-fork

research-code

sampling-tutorials

Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences

weakly_convex_ridge_regularizer_fork

xcting_training

Python notebooks for xCTing training event "Mathematics of Tomography"