geomodeller

esmda-quick-demo

This quick demo aims to illustrate the fundamentals of esmda through a simplified toy problem. By walking through this example, you'll gain a clear understanding of how esmda operates and its potential applications in more complex scenarios.

GeostatsPy

Reimplementation of GSLIB, Spatial Data Analytics and Geostatistics in a Python package.

chokepressure_inha_compute

CNN_Classifier_MPS

CNN this time!

DIRECT

Digital Reservoir Characterization Technology Consortium, UT Austin

drilling_pressure_py

Originally developed by Donghee Kim (at Inha University)

geomodeller.github.io

GeostatsDemo

This is for generating 3D geomodels (SIS for facies, SGS for porosity or permeability) using GeostatsPy Package of Dr. Michael Pyrcz

meanderpy

Simple model of meander migration

scikit-gstat

Geostatistical expansion in the scipy style

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

SinGAN_TF

"SinGAN : Learning a Generative Model from a Single Natural Image" in TensorFlow 2

agents-tutorial

TF-Agents is a library for Reinforcement Learning in TensorFlow

ccs-inha-structure

this is for CURE research - subsurface structure generation which can provide framework to run geostatistics and running subsurface simulation

drp_visualization_mini_course

eua_prediction

This is to build a script for analyzing EUA price with the associated economic factors and energy price

Inha_OilnGAS_Engineering_Demos

Demos for various oil and gas engineering problems including well logs interpretation, reserves evaluation, etc

julia2pytorch

Enables Zygote.jl differentiable functions to be differentiated with pytorch

keras-io

Keras documentation, hosted live at keras.io

KSMER_GeostatsDemo

Originally developed by Dr. Pyrcz. We modified some of his work to demonstrate SGS&SIS in python

Machine-Learning-Competition-2023

The 3rd SPWLA ML competition

pystripe

An image processing package for removing streaks from SPIM images

PythonNumericalDemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

resqpy

Python API for working with RESQML models

scikit-learn

scikit-learn: machine learning in Python

sim2seis

snu_geomodel_gen

to generate geo-models via MPS (SGS+SIS upcoming)

tigervnc

High performance, multi-platform VNC client and server

TransGAN

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

unet

unet for image segmentation