Multi-purpose lens modeling software package

A pipeline for versatile strong lens sample simulations

Automated pipeline for lens modelling based on lenstronomy

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

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

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

slcomp: compilation of strong lensing objects

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

Constrain curvature with strong lenses and complementary probes