Stars
Scattering of plane body waves on arbitrary anisotropic elastic perturbations mapped to wavenumber domain. Kazei & Alkhalifah, 2019 JGR
Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as higher level abstraction for domain experts
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
The main repository for FraCSPy (Framework for Conventional microSeismic Processing), an open-source Python library focused on providing conventional microseismic monitoring tools
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…
A workflow is proposed to efficiently adapt foundation models for cross-domain and cross- task applications in geophysics.
Generative Models by Stability AI
Generic cable class for Distributed Acoustic Sensing (DAS) data modeling (forward) and inversion (adjoint).
code for traditional method and fast method for double beamforming of ambient seismic noise, with example workflow on US Array data
A few short demos illustrating some properties of the Wasserstein-2 distance.
Multi-task learning for low-frequency extrapolation and elastic model building
Knowledge graph construction: Fast inserts into a Wikibase instance
Material for KAUST and Iraya's virtual summer school on Utilising unstructured data in geoscience.
Notebooks with examples and demos of segyio
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification by Siahkoohi, A., Rizzuti, G., and Herrmann, F.J.
Neural style transfer applied to elastic subsurface models [SEG19]. Visualized and explained.
Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
Reproduced papers from the Reproducibility Zoo
Course material for the lecture "Theory of seismic waves II" (SS 2018) @ CAU Kiel
Helmholtz solver with 2nd order Clayton-Enquist boundary conditions + compared to analytics