Experimental application for monitoring earthquakes world-wide in near real time. Capable of issuing its own earthquake early warnings (EEW).

Earthquake detection and analysis in Python.

SeisComP is a seismological software for data acquisition, processing, distribution and interactive analysis.

An earthquake detection and location architecture

Simplified machine-learning driven earthquake detection, location, and analysis.

Multi-band array detection and location of seismic sources

Matched filter earthquake detector

This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more accurate to accomplish this task.

A curated list of earthquake seismology software

基于 Python / Qt6 的轻量级中国四川地震预警软件

CNN Event Detection & RNN Phase Picking (in Tensorflow)

Tutorials and updated codes for the research paper: 'Siamese Earthquake Transformer: A pair-input deep-learning model for earthquake detection and phase picking on a seismic array.'

Construction of Long-Term Seismic Catalog with Deep Learning: A Workflow for Localized Self-Attention RNN (LoSAR)

Automatic earthquake catalog building workflow: EQTransformer + Siamese EQTransformer + PickNet + REAL + HypoInverse

A computationally efficient earthquake detection module for SeisComP

Detecting Earthquake P-Waves using popular STA/LTA Algorithm with visualization and estimations of Seismometer Trajectory in 3D, S-Wave arrival time and much more.

Server-side releases for GlobalQuake

Android application for disaster management.

[TGRS] SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks