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att_training

Adjoint-state Traveltime Tomography (training version)

axialseamountfwimodel

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

chinese-std-gb-t-7714-related-csl

GB/T 7714相关的csl以及Zotero使用技巧及教程。

co2net

Deep learning for characterizing CO2 migration in time-lapse seismic images

daslfprocessing_jinlib

Low frequency processing for DAS data dependent on JIN_pylib

ddnet

diffefwi

Official repository for the "Learned regularizations for multi-parameter elastic full waveform inversion using diffusion models" paper.

dlisio-notebooks

elasticisolib_3d

GPU-based elastic isotropic wave-equation modeling and inversion library

fdtd_cpml_2d_iso

Finite-difference time-domain solver for isotropic elastic wave equation with convolutional perfectly matched layer.

gerjoii

Radar and DC resistivity 2.5D multi-physics inversion suite. Forward modeling, separate inversions, joint inversions.

greenlandas

Codes for analyzing distributed acoustic sensing data from Store Glacier, Greenland

hemew3d

Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators

langevin_gji_2020

Bayesian seismic inversion: Fast sampling Langevin dynamics Markov chain Monte Carlo

latentpinn

Official repository for the "Multiple wavefield solutions in physics-informed neural networks using latent representation" paper.

libemmi_mgfd

3D CSEM modelling and inversion using multigrid frequency-domain solver

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

neural-pde-solver

openswpc

A Seismic Wave Propagation Code by Parallel Finite Difference Method

pinn-based-wavefield-reconstruction-inversion

pinnpstomo

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

qwdqq-

rtm_gpu

Acoustic reverse-time migration using GPU card and POSIX thread based on the adaptive optimal finite-difference scheme and the hybrid absorbing boundary condition.

seg-2020-joint-learning-with-spatial-context-for-inversion

Contains Codes for accepted Geophysics paper demonstrating joint learning for seismic inversion with spatial context

seisflows

An automated workflow tool for full waveform inversion and adjoint tomography

seismic-data-preparation

Preprocessing seismic data: download, format changing, and archiving

semi-supervised-learning-for-acoustic-impedance-inversion

Codes and data for the paper: M. Alfarraj and G. AlRegib, "Semi-Supervised Learning for Acoustic Impedance Inversion," in Expanded Abstracts of the SEG Annual Meeting, Sep. 15-20 2019.

smaat-unet

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"