Light field geometry estimator for plenoptic cameras

Gravitational microlensing classification engine using machine learning

MAGIC: Microlensing Analysis Guided by Intelligent Computation. A PyTorch framework for automatic analysis of realistic microlensing light curves.

The fastest gravitational (quasar) microlensing code on the planet. A parallel Barnes-Hut tree code optimized for GPUs, written in OpenCL

muLAn: MICROlensing Analysis software

Implementation of automatic differentiation in VBozza's BinaryLensing

Amoeba: an AGN Model of Optical Emissions Beyond steady-state Accretion disks

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

Code for "Predicting High Magnification Events in Microlensed Quasars in the Era of LSST using Recurrent Neural Networks"

Implementation of the Witt (1993) method to compute gravitational microlensing light curves for an ensemble of point masses with shear

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

Anomaly detection for Microlensing Single lens fitters.

A fortran program based on FEM, it recovers LD profile of distant stars from gravitational microlensing light curves

Open source implementation of the analytical method by Witt (1990,1991) in gravitational microlensing to find the locations of critical curves and caustics for an abritrary number of stars.

python implementation to compute images of gravitational microlensed circular sources and light curves for an ensemble of point masses with shear.

Gravitational microlensing

code to calculate the critical curves and caustics of micro-lensing star fields