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

Anomaly detection for Microlensing Single lens fitters.

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

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

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

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.

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

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

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

muLAn: MICROlensing Analysis software

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

Implementation of automatic differentiation in VBozza's BinaryLensing

Gravitational microlensing

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

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

Gravitational microlensing classification engine using machine learning

Light field geometry estimator for plenoptic cameras