Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.2%) to scientific vocabulary
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
Metadata Files
README.md
MADNESS Deblender
<!-- 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 💻 🤔 ⚠️ 🚧 |
Junpeng Lao 💻 👀 🤔 |
Alexandre Boucaud 👀 🤔 |
Eric Aubourg 🤔 |
Cécile Roucelle 🤔 |
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
- Website: http://lsstdesc.org
- Repositories: 310
- Profile: https://github.com/LSSTDESC
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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- actions/setup-python v3 composite
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- astropy *
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- btksims *
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- ipykernel *
- jupyter *
- matplotlib *
- numba *
- numpy *
- pandas *
- pre-commit *
- proxmin *
- pybind11 *
- pytest *
- python ^3.8
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- seaborn *
- sep *
- tensorflow 2.11.0
- tensorflow-datasets *
- tensorflow-probability 0.19.0
- mkdocs-jupyter *
- actions/checkout main composite
- actions/setup-python main composite
- codecov/codecov-action v4 composite