Optimizing the Post-Processing of High Contrast Imaging Data from the dgvAPP360

Characterizing the performance of the SPHERE exoplanet imager at the Very Large Telescope using deep learning

Inverse problem based algorithm for disks retrival from ADI dataset

GreeDS algorithm from Pairet etal 2020. Re-implemented to be independent from MAYONNAISE

RHAPSODIE: Reconstruction of High-contrAst Polarized SOurces and Deconvolution for cIrcumstellar Environments

Half-Sibling Regression for High-Contrast Imaging

Direct Exoplanet Imaging with Tensor Decompositions

A Python package for calculating detection limits for exoplanet high contrast imaging (HCI) datasets.

IRDAP is a highly-automated end-to-end pipeline to reduce SPHERE-IRDIS polarimetric data

a python package for eXtreme Angular Resolution Astronomy

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.