smousavi05/EQTransformer
A deep learning model using transformers and LSTM networks for automated earthquake detection and seismic phase (P&S) arrival picking.
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EQTransformer provides a hierarchical neural network architecture trained on global seismic data to simultaneously perform earthquake signal detection and phase arrival time picking. The package includes modules for downloading seismic data, preprocessing waveforms, running inference with pre-trained models, and building/testing new models. It also estimates model uncertainties alongside predictions.
Frequently asked
- What is smousavi05/EQTransformer?
- A deep learning model using transformers and LSTM networks for automated earthquake detection and seismic phase (P&S) arrival picking.
- Is EQTransformer open source?
- Yes — smousavi05/EQTransformer is open source, released under the MIT license.
- What language is EQTransformer written in?
- smousavi05/EQTransformer is primarily written in Python.
- How popular is EQTransformer?
- smousavi05/EQTransformer has 412 stars on GitHub.
- Where can I find EQTransformer?
- smousavi05/EQTransformer is on GitHub at https://github.com/smousavi05/EQTransformer.