Data Science & Analytics
SeisBench Model API
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.
- Publisher / source
- benchflow-ai/skillsbench (found on GitHub top repositories)
- Upstream record
- benchflow-ai/skillsbench
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
32923bed92731f01669a29f9f3db964efc052a0ee5f4b6fc0115573fc99657e1