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
Localize AI Phase Picker with Rule-based Algorithm for Generalized Earthquake Detection
Official Pytorch Implementation of [GRL] SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model
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.'
CNN Event Detection & RNN Phase Picking (in Tensorflow)
[TGRS] SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks
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
Transfer Learning for PhaseNet
DeepSeek Harness plugin for the SeismicX earthquake-catalog skill
A Single-Station Earthquake Detection and Phase-Picking Network Based on a Multiple Attention Mechanism
Adversarial Shape Learning for Seismic Phase Picking
TGRS supplementary release package for CausalStreamingPPicker
Deep learning system for earthquake detection and P/S wave phase picking using STEAD dataset
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