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AKSHAHI's Projects

3d-digital-rock-reconstruction icon 3d-digital-rock-reconstruction

This is the code for our paper '3D carbonate digital rock reconstruction using PG-GAN' submitted to JGR. The code is modified from the original PG-GAN code by Karras et al. (2017) (https://github.com/tkarras/progressive_growing_of_gans).

beatmap icon beatmap

BET surface area analysis from adsorption data

cfdpython icon cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

ctsegnet icon ctsegnet

CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).

deepangle icon deepangle

Fast calculation of contact angles in tomography images using deep learning

deepore icon deepore

Deep learning for rapid characterization of porous materials

digital-rock-physics icon digital-rock-physics

Calculate permeability, Porosity, Pore Size distributions, Capillary Pressure, Formation Factor and Visualizations

esrgan icon esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

geogan icon geogan

Conditioning of three-dimensional geological and pore scale generative adversarial networks

geosx icon geosx

GEOSX Simulation Framework for CCUS

git icon git

Version Control with Git

grainsizetools icon grainsizetools

A Python script for estimating grain size and differential stress via piezometers

imagestackpy icon imagestackpy

Modules to view and process large image stacks. Fast, parallelized filters and an object tracking algorithm.

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