Maximum A posteriori with Deep NEural networks for Source Separation
This repository contains the code for the MADNESS project under development within the framework of the LSST Dark Energy Science Collaboration (LSST DESC). MADNESS obtains the MAP solution to deblend galaxies in a blended scene by performing gradient descent in a VAE latent space.
A release is being planned soon... Till then the package needs to be installed via GitHub
For testing the deblender, the package can directly be installed from GitHub
pip install git+https://github.com/b-biswas/MADNESS.gitFor contributing (further instructions to be added soon):
git clone https://github.com/b-biswas/MADNESS/
cd MADNESS
pip install -e .[dev]Thanks goes to these wonderful people (emoji key):
 Biswajit Biswas 💻 🤔 |
 Junpeng Lao 💻 👀 🤔 |
 Alexandre Boucaud 👀 🤔 |
 Eric Aubourg 🤔 |
 Cécile Roucelle 🤔 |
 Axel Guinot 🤔 |
This project follows the all-contributors specification. Contributions of any kind welcome!
MIT