QuakeFlow: A Scalable Machine-learning-based Earthquake Monitoring Workflow with Cloud Computing
Overview
QuakeFlow is a scalable deep-learning-based earthquake monitoring system with cloud computing. It applies the state-of-art deep learning/machine learning models for earthquake detection. With auto-scaling enabled on Kubernetes, our system can balance computational loads with computational resources.
Current Modules
Models
- DeepDenoiser: (paper) (example)
- PhaseNet: (paper) (example)
- GaMMA: (paper) (example)
- ADLoc: (paper)
- HypoDD (paper) (example)
- More models to be added. Contributions are highly welcomed!