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GOLEM is a numerical simulator for modelling coupled Thermo-Hydro-Mechanical processes in faulted geothermal reservoirs.
The code package is expected to solve the mode-losses and mode-aliases of the inversion for the multimodal surface wave dispersion curves.
Forward modeling, inversion, and processing gravity and magnetic data
GraSphInv is a program for gravity inversion using adaptive inversion mesh refinement in the spherical coordinate system. A-priori constraints can be used in the inversion. Wavelet compression can …
DiTingMotion: a deep-learning first-motion-polarity classifier and its application to focal mechanism inversion
OpenGL and Houdini snow simulation (material point method)
High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)
Source code for: Comparison of heuristics and metaheuristics for topology optimisation in acoustic porous materials - JASA paper
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
18.336 - Fast Methods for Partial Differential and Integral Equations
Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.
MATLAB tools for boundary integral equations in 3D (Laplace, time-domain wave equation, etc)
The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.
Libraries of geodesy functions implemented in JavaScript
GTDef: Georgia Tech Ground Deformation Software suite
Download and load digital rocks datasets
OpenFOAM solver for performing single- and two-phase flow simulations on hybrid-scale deformable porous media.
Radiative transport in 3D Earth models
Reconstruction of three-dimensional porous media using generative adversarial neural networks
The Ambient Noise Tomography Plugin for MSNoise
Scripts of updated European hydraulic pedotransfer functions (euptfv2)
Deep learning for Engineers - Physics Informed Deep Learning
Implementation of Ogata's (2005) method for Hankel transforms.