Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: LSSTDESC
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 3.55 MB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 1
  • Open Issues: 4
  • Releases: 4
Created almost 2 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

MADNESS Deblender

PyPI - Version License: MIT pytest codecov pre-commit All Contributors <!-- ALL-CONTRIBUTORS-BADGE:END -->

Maximum A posteriori with Deep NEural networks for Source Separation arXiv:2408.15236

This repository contains the code for the MADNESS project under development within 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.

Installation

For testing the deblender, the package can be installed directly from GitHub bash pip install madness-deblender For contributing (further instructions to be added soon): bash git clone https://github.com/LSSTDESC/madness/ cd madness pip install -e .[dev]

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Biswajit Biswas
Biswajit Biswas

💻 🤔 ⚠️ 🚧
Junpeng Lao
Junpeng Lao

💻 👀 🤔
Alexandre Boucaud
Alexandre Boucaud

👀 🤔
Eric Aubourg
Eric Aubourg

🤔
Cécile Roucelle
Cécile Roucelle

🤔
Axel Guinot
Axel Guinot

🤔

This project follows the all-contributors specification. Contributions of any kind welcome!

License

MIT

Owner

  • Name: LSST Dark Energy Science Collaboration (DESC)
  • Login: LSSTDESC
  • Kind: organization

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Biswas"
  given-names: "Biswajit"
- family-names: "Aubourg"
  given-names: "Eric"
- family-names: "Boucaud"
  given-names: "Alexandre"
- family-names: "Guinot"
  given-names: "Axel"
- family-names: "Lao"
  given-names: "Junpeng"
- family-names: "Roucelle"
  given-names: "Cécile"

title: "MADNESS Deblender"
version: 1.0.0
date-released: 2024-07-20
url: "https://github.com/b-biswas/madness/"
preferred-citation:
  type: article
  authors:
  - family-names: "Biswas"
    given-names: "Biswajit"
  - family-names: "Aubourg"
    given-names: "Eric"
  - family-names: "Boucaud"
    given-names: "Alexandre"
  - family-names: "Guinot"
    given-names: "Axel"
  - family-names: "Lao"
    given-names: "Junpeng"
  - family-names: "Roucelle"
    given-names: "Cécile"
  doi: "10.48550/arXiv.2408.15236"
  journal: "arXiv Preprint"
  month: 8
  start: 1 # First page number
  end: 20 # Last page number
  title: "MADNESS Deblender: Maximum A posteriori with Deep NEural networks for Source Separation"
#  issue: 1
#  volume: 1
  year: 2024

GitHub Events

Total
  • Release event: 12
  • Delete event: 5
  • Push event: 12
  • Pull request event: 23
  • Create event: 10
Last Year
  • Release event: 12
  • Delete event: 5
  • Push event: 12
  • Pull request event: 23
  • Create event: 10

Dependencies

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docs/requirements.txt pypi
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