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Surface wave Adjoint Travel-time Tomography
Deep learning for determining earthquake first-motion polarity
An automatic workflow to obtain the Focal Mechanisms with P-wave first-motion polarities
SPECFEM3D_Cartesian simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra (structured & unstruct…
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
A curated list of resources for using LLMs to develop more competitive grant applications.
Scalable library for Eikonal equation based Adjoint-state Traveltime Tomography
Wphase is an extensive source-inversion tool for rapid characterization of earthquakes
A python script, using ObsPy tools, to generate Global CMT solution catalogues.
Python utilities for running GCAP (a source mechanism inversion code by Zhu L.)
The Ambient Noise Tomography Plugin for MSNoise
A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org
Creates earthquake focal mechanisms and saves a image file for each individual event.
SeisBench - A toolbox for machine learning in seismology
Train a surrogated probabilistic seismic demand model (PSDM) based for inelastic single degree of freedom structures based on Gaussian process regression
Teleseismic body wave modeling through stacks of (dipping/anisotropic) layers
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
SPECFEM1D simulates seismic wave propagation in a one-dimensional heterogeneous medium. It is a small code that allows users to learn how a spectral-element program is written.
Code of 'An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring'