dig-kaust Goto Github PK

4dproximal

adaptive-subtraction

conda_envs

Set of conda environments for KAUST linux machines and clusters

deepprecs

Deep Preconditioned Inverse problems

genmodelling

Teaching material for Generative modelling lectures in AI Summer School @ KAUST

hpc_hackathon_dig

htracker

A Joint Inversion-Segmentation approach to Assisted Seismic Interpretation

mdc-hpc

Reproducible Paper - Implementation of large-scale integral operators with modern HPC solutions

mdd-stochasticsolvers

Multi-dimensional deconvolution with stochastic solvers

ml_dispersion

mlgeoscience

Teaching material for ML in Geoscience course

multicompslopesinterpolation

Slope estimation and interpolation of multi-channel seismic data

pymarchenko

A bag of Marchenko algorithms implemented on top of PyLops

pypocs

Implement POCS with different proximal algorithms (HQS, ADMM, PD)

pysubsurface

A bag of useful object to load, manipulate, and visualize subsurface data

rockgan

Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.

seismic_pnp

Plug and Play Post-Stack Seismic Inversion with CNN-based Denoisers

seismology

Teaching material for ErSE 210 Seismology course

seismology-projects

A collection of projects performed by my students in the ErSE 210 Seismology course

ssdeblend

strydeprojects

Codes to visualize and analyse Stryde data acquired by DIG

tlr-mdc

Tile-Low Rank Multi-Dimensional Convolution: fast MDC modelling and inversion for seismic applications

volvesynthetic

A Volve-alike synthetic dataset for testing of seismic processing and imaging algorithms