/QuakeFlow

QuakeFlow: A Scalable Deep-learning-based Earthquake Monitoring Workflow with Cloud Computing

Primary LanguageJupyter NotebookMIT LicenseMIT

documentation

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

Data stream

Data process

Deployment

QuakeFlow can be deployed on any cloud platforms with Kubernetes service.