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seisbench-model-api

maintained by benchflow-ai

star 621 account_tree 199 verified_user MIT License
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An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, for tasks like phase picking, earthquake detection, waveform denoising and depth estimation. For any waveform, you can manipulate it into an obspy stream object and it will work seamlessly with seisbench models.

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Skill Details

GitHub Stars 621
GitHub Forks 199
Created Jan 2026
Last Updated 4 months ago
blockchain blockchain machine learning

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