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

An Earthquake Detection and Location Architecture for Continuous Seismograms: Phase Picking, Association, Location, and Matched Filter

Deep learning seismic phase picking framework with SEISAN

CNN Event Detection & RNN Phase Picking (in Tensorflow)

Localize AI Phase Picker with Rule-based Algorithm for Generalized Earthquake Detection

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.'

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

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.

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

Official Pytorch Implementation of SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model

Transfer Learning for PhaseNet

A Single-Station Earthquake Detection and Phase-Picking Network Based on a Multiple Attention Mechanism