Earthquake Location WorkFlow

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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.

深度学习经典、新论文逐段精读

Keras implemetation of PickNet and examples for training on STEAD and INSTANCE datasets

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.'

SeisBench - A toolbox for machine learning in seismology

Fast double-difference cross-correlation (FDTCC)

GaMMA: Earthquake Phase Association using a Bayesian Gaussian Mixture Model

A simple python GUI for extracting dispersion curves from dispersion spectrum.

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

DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks

A collection of scripts to steer HypoDD by Felix Waldhauser.

input files maker

Codes for plotting seismic activity

Preprocessing seismic data: download, format changing, and archiving

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

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

This is a reverse algorithem for GCV method that removes the signal and keep the background noise

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

PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

Deep Learning For Computer Vision With Python

谷歌全新开源人工智能系统TensorFlow官方文档中文版

PhaseLink: A deep learning approach to seismic phase association

An improved match and locate method

A program that automatically downloads UCAS courseware based on Python