Learning in infinite dimension with neural operators.

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

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

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

A library for painless 3D tomographic reconstruction

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

A python package for consensus-based optimization

Optimizing neural networks via an inverse scale space flow.

LaTeX template for theses and lecture notes

Polarized consensus-based particle dynamics

This repo collects papers on the math of transformers

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.

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