There are 3 repositories under gravitational-lensing topic.
multi-purpose lens modeling software package
PyAutoLens: Open Source Strong Gravitational Lensing
Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/abs/1909.02005.
A pipeline for versatile strong lens sample simulations
Planck 2018 lensing pipeline
A Galaxy-Galaxy Lensing Python Package
A gravitational lensing simulator for the machine learning era.
JAX port of lenstronomy, for parallelized, GPU accelerated, and differentiable gravitational lensing and image simulations.
An interactive simulation of gravitational lensing effects using WebGL
Analysis pipeline capable of searching for dark compact objects in the Milky Way through astrometric lensing in real or mock Gaia DR4 data.
An interactive-slider-demo for a simple gravitational lens.
Implementation of 4 deep learning schemes for Gravitational lensing analysis.
My Journey in Theoretical Cosmology and Advanced Computational Astrophysics through the various related projects with Python using Data Science and Analytics techniques.
My repo for gravitational lenses (educative project).
Multiplane gravitational lensing with CUDA
Code accompanying the paper "Microlensing model inference with normalising flows and reversible jump MCMC"
Code to simulate mock strong lensed galaxies
Package to measure and model weak gravitational lensing by sattelite galaxies in galaxy clusters
Classifying simulated strong lensing images
Code to provide approximate magnification probability distributions under microlensing by compact objects such as stars or PBHs of strongly lensed stars.
Implementation of the Witt (1993) method to compute gravitational microlensing light curves for an ensemble of point masses with shear