Light field geometry estimator for plenoptic cameras

• Updated Mar 11, 2025
• Python

Gravitational microlensing classification engine using machine learning.

• Updated Jan 26, 2026
• Python

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

• Updated May 30, 2024
• Jupyter Notebook

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

• Updated Nov 4, 2025
• Jupyter Notebook

microJAX: A GPU-accelerated differentiable microlensing modeling framework

• Updated Feb 1, 2026
• Python

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

• Updated Feb 18, 2019
• C++

Implementation of automatic differentiation in VBozza's BinaryLensing

• Updated Dec 22, 2025
• Jupyter Notebook

GPU code for quasar and supernovae microlensing simulations

• Updated Nov 11, 2025
• Cuda

muLAn: MICROlensing Analysis software

• Updated Jun 22, 2020
• OpenEdge ABL

The goal of this project is to create an all-encompassing collection of Jupyter notebooks—your trusty companions for engaging exercises related to microlensing. Through these notebooks, the insights and experiences of microlensing elders can light your path as you embark on your journey of discovery and exploration through scientific research.

• Updated Oct 25, 2025
• Jupyter Notebook

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

• Updated Jan 15, 2025
• Python

Submission tool for the 2nd Roman microlensing data challenge

• Updated Jan 16, 2026
• Python

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

• Updated Sep 16, 2024
• Python

Tools for simulating gravitational microlensing events with single, binary, and triple lens systems. This package is under active development.

• Updated Aug 22, 2025
• Jupyter Notebook

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

• Updated Mar 20, 2024
• TeX

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

• Updated Jun 30, 2020
• Jupyter Notebook

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

• Updated Feb 28, 2023
• Fortran

Anomaly detection for Microlensing Single lens fitters.

• Updated Sep 12, 2019
• Jupyter Notebook

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

• Updated Jun 30, 2020
• Jupyter Notebook

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.

• Updated Feb 17, 2020
• Jupyter Notebook