https://github.com/aboucaud/debvader
Deblending astrophysical sources with variational autoencoders
Science Score: 10.0%
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Low similarity (8.2%) to scientific vocabulary
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Deblending astrophysical sources with variational autoencoders
Basic Info
- Host: GitHub
- Owner: aboucaud
- License: bsd-3-clause
- Default Branch: main
- Size: 1.66 GB
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Fork of BastienArcelin/debvader
Created over 4 years ago
· Last pushed over 4 years ago
https://github.com/aboucaud/debvader/blob/main/
# DebVAder: Deblending galaxies with Variational Autoencoders [![License][license-badge]][license-web] [![Paper][arxiv-badge]][arxiv-paper] [license-badge]: https://img.shields.io/badge/license-BSD-blue.svg?style=flat [license-web]: https://choosealicense.com/licenses/bsd-3-clause/ [arxiv-paper]: https://arxiv.org/abs/2005.12039 [arxiv-badge]: https://img.shields.io/badge/arXiv-2005.12039-brightgreen.svg?style=flat [dc2-paper]: https://arxiv.org/abs/2010.05926 This repo contains the scripts to use the deblending algorithm based on variational autoencoders presented in [Arcelin et al. (2020)][arxiv-paper]. It is pip installable and can be used exclusively (for now) on images generated by the [LSST DESC DC2 simulation][dc2-paper]. ## Example An example of application of `debvader` on DC2 images is presented in [this tutorial](notebooks/deblending_dc2_images.ipynb). ## Installation It requires few packages to work: - `scikit-image`>=0.17 - `tensorflow` == 2.1.0 - `tensorflow-probability` == 0.9.0 - `scipy` - `numpy` - `matplotlib` - `jupyter` They can be installed with ``` pip install -r requirements.txt ``` Debvader can then be pip installed with ``` pip install --index-url https://test.pypi.org/simple/ debvader ``` ## Authors - [Bastien Arcelin](https://github.com/BastienArcelin) - arcelin at apc.in2p3.fr - [Cyrille Doux](https://github.com/xuod) - [Thomas Sainrat](https://github.com/thuiop) - [Biswajit Biswas](https://github.com/b-biswas) - [Alexandre Boucaud](https://github.com/aboucaud) ## License BSD 3-Clause license, see the [LICENSE file](LICENSE) for more information
Owner
- Name: Alexandre Boucaud
- Login: aboucaud
- Kind: user
- Location: Paris, France
- Company: Laboratoire APC, CNRS/IN2P3
- Website: https://aboucaud.github.io
- Repositories: 66
- Profile: https://github.com/aboucaud