EQTransformer, a python package for earthquake signal detection and phase picking using AI.

An earthquake detection and location architecture

Deep learning seismic phase picking framework with SEISAN

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.'

QuakeLabeler is a Python package to create and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing.

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

This is the official implementation of Real-time Earthquake Detection and Phase-picking with multi-task Attention Network

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

Transfer Learning for PhaseNet