DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

This repo collects papers on the math of transformers

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

Optimizing neural networks via an inverse scale space flow.

A library for painless 3D tomographic reconstruction

Polarized consensus-based particle dynamics

A python package for consensus-based optimization

Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"

Implementation of the proximal Langevin algorithm with inexact evaluation of proximal operators

Matlab codes for the supervised and unsupervised learning of a Generalized Tikhonov regularizer for linear inverse problems. This set of codes deals with one-dimensional signals.

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

Learning in infinite dimension with neural operators.

LaTeX template for theses and lecture notes