# MADNESS
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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
## Installation
For testing the deblender, the package can directly be installed from GitHub
```bash
pip install git+https://github.com/b-biswas/madness.git
```
For contributing (further instructions to be added soon):
```bash
git clone https://github.com/b-biswas/madness/
cd madness
pip install -e .[dev]
```
## Contributors ✨
Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
<!-- prettier-ignore-start -->
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<table>
<tbody>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/b-biswas"><img src="https://avatars.githubusercontent.com/u/44917825?v=4?s=100" width="100px;" alt="Biswajit Biswas"/><br /><sub><b>Biswajit Biswas</b></sub></a><br /><a href="https://github.com/b-biswas/MADNESS/commits?author=b-biswas" title="Code">💻</a> <a href="#ideas-b-biswas" title="Ideas, Planning, & Feedback">🤔</a> <a href="https://github.com/b-biswas/MADNESS/commits?author=b-biswas" title="Tests">⚠️</a> <a href="#maintenance-b-biswas" title="Maintenance">🚧</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://junpenglao.xyz/"><img src="https://avatars.githubusercontent.com/u/12952641?v=4?s=100" width="100px;" alt="Junpeng Lao"/><br /><sub><b>Junpeng Lao</b></sub></a><br /><a href="https://github.com/b-biswas/MADNESS/commits?author=junpenglao" title="Code">💻</a> <a href="https://github.com/b-biswas/MADNESS/pulls?q=is%3Apr+reviewed-by%3Ajunpenglao" title="Reviewed Pull Requests">👀</a> <a href="#ideas-junpenglao" title="Ideas, Planning, & Feedback">🤔</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://aboucaud.github.io"><img src="https://avatars.githubusercontent.com/u/3065310?v=4?s=100" width="100px;" alt="Alexandre Boucaud"/><br /><sub><b>Alexandre Boucaud</b></sub></a><br /><a href="https://github.com/b-biswas/MADNESS/pulls?q=is%3Apr+reviewed-by%3Aaboucaud" title="Reviewed Pull Requests">👀</a> <a href="#ideas-aboucaud" title="Ideas, Planning, & Feedback">🤔</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/aubourg"><img src="https://avatars.githubusercontent.com/u/4321664?v=4?s=100" width="100px;" alt="Eric Aubourg"/><br /><sub><b>Eric Aubourg</b></sub></a><br /><a href="#ideas-aubourg" title="Ideas, Planning, & Feedback">🤔</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/roucelle"><img src="https://avatars.githubusercontent.com/u/17788009?v=4?s=100" width="100px;" alt="Cécile Roucelle"/><br /><sub><b>Cécile Roucelle</b></sub></a><br /><a href="#ideas-roucelle" title="Ideas, Planning, & Feedback">🤔</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/aguinot"><img src="https://avatars.githubusercontent.com/u/39480528?v=4?s=100" width="100px;" alt="Axel Guinot"/><br /><sub><b>Axel Guinot</b></sub></a><br /><a href="#ideas-aguinot" title="Ideas, Planning, & Feedback">🤔</a></td>
</tr>
</tbody>
</table>
<!-- markdownlint-restore -->
<!-- prettier-ignore-end -->
<!-- ALL-CONTRIBUTORS-LIST:END -->
This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
## License
MIT
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"description": "# MADNESS\n<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->\n[![All Contributors](https://img.shields.io/badge/all_contributors-6-orange.svg?style=flat-square)](#contributors-)\n<!-- ALL-CONTRIBUTORS-BADGE:END -->\n\nMaximum A posteriori with Deep NEural networks for Source Separation\n\nThis repository contains the code for the MADNESS project under development within the framework of the LSST Dark Energy Science Collaboration (LSST DESC).\nMADNESS obtains the MAP solution to deblend galaxies in a blended scene by performing gradient descent in a VAE latent space.\n\nA release is being planned soon...\nTill then the package needs to be installed via GitHub\n\n## Installation\nFor testing the deblender, the package can directly be installed from GitHub\n```bash\npip install git+https://github.com/b-biswas/madness.git\n```\nFor contributing (further instructions to be added soon):\n```bash\ngit clone https://github.com/b-biswas/madness/\ncd madness\npip install -e .[dev]\n```\n\n## Contributors \u2728\n\nThanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):\n\n<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->\n<!-- prettier-ignore-start -->\n<!-- markdownlint-disable -->\n<table>\n <tbody>\n <tr>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/b-biswas\"><img src=\"https://avatars.githubusercontent.com/u/44917825?v=4?s=100\" width=\"100px;\" alt=\"Biswajit Biswas\"/><br /><sub><b>Biswajit Biswas</b></sub></a><br /><a href=\"https://github.com/b-biswas/MADNESS/commits?author=b-biswas\" title=\"Code\">\ud83d\udcbb</a> <a href=\"#ideas-b-biswas\" title=\"Ideas, Planning, & Feedback\">\ud83e\udd14</a> <a href=\"https://github.com/b-biswas/MADNESS/commits?author=b-biswas\" title=\"Tests\">\u26a0\ufe0f</a> <a href=\"#maintenance-b-biswas\" title=\"Maintenance\">\ud83d\udea7</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://junpenglao.xyz/\"><img src=\"https://avatars.githubusercontent.com/u/12952641?v=4?s=100\" width=\"100px;\" alt=\"Junpeng Lao\"/><br /><sub><b>Junpeng Lao</b></sub></a><br /><a href=\"https://github.com/b-biswas/MADNESS/commits?author=junpenglao\" title=\"Code\">\ud83d\udcbb</a> <a href=\"https://github.com/b-biswas/MADNESS/pulls?q=is%3Apr+reviewed-by%3Ajunpenglao\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#ideas-junpenglao\" title=\"Ideas, Planning, & Feedback\">\ud83e\udd14</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://aboucaud.github.io\"><img src=\"https://avatars.githubusercontent.com/u/3065310?v=4?s=100\" width=\"100px;\" alt=\"Alexandre Boucaud\"/><br /><sub><b>Alexandre Boucaud</b></sub></a><br /><a href=\"https://github.com/b-biswas/MADNESS/pulls?q=is%3Apr+reviewed-by%3Aaboucaud\" title=\"Reviewed Pull Requests\">\ud83d\udc40</a> <a href=\"#ideas-aboucaud\" title=\"Ideas, Planning, & Feedback\">\ud83e\udd14</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/aubourg\"><img src=\"https://avatars.githubusercontent.com/u/4321664?v=4?s=100\" width=\"100px;\" alt=\"Eric Aubourg\"/><br /><sub><b>Eric Aubourg</b></sub></a><br /><a href=\"#ideas-aubourg\" title=\"Ideas, Planning, & Feedback\">\ud83e\udd14</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/roucelle\"><img src=\"https://avatars.githubusercontent.com/u/17788009?v=4?s=100\" width=\"100px;\" alt=\"C\u00e9cile Roucelle\"/><br /><sub><b>C\u00e9cile Roucelle</b></sub></a><br /><a href=\"#ideas-roucelle\" title=\"Ideas, Planning, & Feedback\">\ud83e\udd14</a></td>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://github.com/aguinot\"><img src=\"https://avatars.githubusercontent.com/u/39480528?v=4?s=100\" width=\"100px;\" alt=\"Axel Guinot\"/><br /><sub><b>Axel Guinot</b></sub></a><br /><a href=\"#ideas-aguinot\" title=\"Ideas, Planning, & Feedback\">\ud83e\udd14</a></td>\n </tr>\n </tbody>\n</table>\n\n<!-- markdownlint-restore -->\n<!-- prettier-ignore-end -->\n\n<!-- ALL-CONTRIBUTORS-LIST:END -->\n\nThis project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!\n\n## License\nMIT\n\n",
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