Multi-purpose lens modeling software package

A pipeline for versatile strong lens sample simulations

Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks

Implicit neural representations for strong lensing source reconstruction. Code repository associated with https://arxiv.org/abs/2206.14820.

Code to simulate mock strong lensed galaxies

Simone La Porta's Master thesis in gravitational lensing with applications of automatic differentiation @ Alma Mater Studiorum - Università di Bologna

Code for "Measuring the substructure mass power spectrum of 23 SLACS strong galaxy-galaxy lenses with convolutional neural networks"

Code to provide approximate magnification probability distributions under microlensing by compact objects such as stars or PBHs of strongly lensed stars.

Searching for galaxy satellites by their impact on lens potential in strong gravitational lensing setup

Constrain curvature with strong lenses and complementary probes