deepinv

Developed by

Code repository

Readme

Documentation

BSD-3-Clause.html

Created: 10/02/2023

Published: 01/07/2023

This software has a level 5 in FAIR practice.

Overview

PyTorch library for solving imaging inverse problems using deep learning

Feature list

Parameters

image

Images saved as torch tensors

Executable Notebooks

Random phase retrieval and reconstruction methods.

This example shows how to create a random phase retrieval operator and generate phaseless measurements from a given image.

Software requirements

Programming languages

Authors & publications

Julian Tachella

None

Matthieu Terris

None

Andrew Wang

None

Dongdong Chen

None

Samuel Hurault

None

Zhiyuan Hu

EPFL

A project by