geostatistic Goto Github PK

5daygeostats_dataanalytics

5-day course on Geostatistics, Data Analytics and Machine Learning

actuarial_mathematics

Actuarial mathematics examples

advanced-spatial-statistics-2021

bayesian-inference-cases

A bunch of models tested with difference Bayesian Inference methods

bayseg

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

buckley-leverett

TMA4212

clustering

SGeMS domaining plugin (hierarchical clustering, K-means and GMM)

cm0477

Statistics for spatio-temporal data

combinatorial_optimization

convex_analysis

Lecture of convex analysis

dask-geomodeling

On-the-fly operations on geographical maps.

data-science-for-mini-datasets

Applying data-science and ML concepts to small datasets is highly discutable but I would argue that even the small one can benefit from it - if the user keeps in mind that the results are to be taken with a grain of salt

dataset_from_image

Create 2D syntetic geostatitics datasets from images for teaching purposes.

dgsa_light

This is a light version of DGSA, written in Python

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

distance-based-model-selection

dpgsim

dwarfelephant

Implementation of the Reduced Basis Method

ewu-cscd379-2020-winter

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

gempy-canvas

Proof of concept for a single page application running on top of gempy.

gempy.github.io

geo-gpu

Low-level geostatistical utilities that run on a GPU

geologymapper

Mapping of geological structure to graphs

geomod3d

Implicit 3D geological modeling and geostatistics

geomodeling_conditional_progan

Directly Conditional Facies Modeling Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)

geomodeling_conditional_to_probability_maps_plus

The second repository (GeoModeling_Conditional_ProGAN) is used for conditioning to well data and global features. This repository is for conditioning to geophysics-interpreted probability maps alone and together with well data and global features.

geomodeling_unconditional_progan

Unconditional Geomodeling related work (codes, data, and results)

geomodeller.examples

Lots of simple examples of using the batch interface to GeoModeller.