# SeisNN  [](http://badges.mit-license.org)
 [](https://github.com/SeisNN/SeisNN/actions?query=workflow%3A%22Docker+Image%22)
Docs build: [](https://circleci.com/gh/SeisNN/SeisNN/tree/master)
Github Pages: https://seisnn.github.io/SeisNN/
Deep learning seismic phase picking framework with SEISAN


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# Warning
The code is still in the development state, API will change frequently.
Beta version will be released soon.
Please star us for upcoming updates!
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Prerequisite:
- S-File catalog from [SEISAN](http://seisan.info/)
- SeisComP Data Structure (SDS) database. The directory and file layout of SDS is defined as:
SDSROOT/YEAR/NET/STA/CHAN.TYPE/NET.STA.LOC.CHAN.TYPE.YEAR.DAY
Installation:
- Follow the instructions in the [Docker](docker) folder to create a Docker container.
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Reference:
[EQTansfomer](https://www.nature.com/articles/s41467-020-17591-w) | [Github](https://github.com/smousavi05/EQTransformer)
Mousavi, S. M., Ellsworth, W. L., Zhu, W., Chuang, L. Y., & Beroza, G. C. (2020). Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking. Nature communications, 11(1), 1-12.
[PhaseNet](https://doi.org/10.1093/gji/ggy423) | [Github](https://github.com/wayneweiqiang/PhaseNet)
Zhu, W., & Beroza, G. C. (2018). PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method. arXiv preprint arXiv:1803.03211.
[U-net](https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/)
Ronneberger, O., Fischer, P., & Brox, T. (2015, October). U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention (pp. 234-241). Springer, Cham.
[U-net ++](https://doi.org/10.1007/978-3-030-00889-5_1) | [Github](https://github.com/MrGiovanni/UNetPlusPlus)
Zhou, Z., Siddiquee, M. M. R., Tajbakhsh, N., & Liang, J. (2018). Unet++: A nested u-net architecture for medical image segmentation. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (pp. 3-11). Springer, Cham.
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[Jimmy Lab wordpress](https://jimmylab.wordpress.com/)