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 wi
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Type: Agent skill (SKILL.md) · Category: Programming Languages & Frameworks · Source: https://github.com/linyouxue/skill-repair-benchmark/tree/HEAD/evaluation/data/sk
| Capabilities (fewer powerful permissions = higher) | 50/50 |
| Maintenance | 26/35 |
| Documentation | 15/15 |
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