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David Zhen Yin's Projects

autobel-v1.0 icon autobel-v1.0

This is the repository for the Auto-BEL implementation in Python

cmcrameri icon cmcrameri

A wrapper around Fabio Crameri's perceptually uniform colourmaps for geosciences

dgsa_light icon dgsa_light

This is a light version of DGSA, written in Python

eclgym icon eclgym

Reservoir Simulation environment for Reinforcement Learning. Eclipse Integration for Gym toolkit.

geostats.jl icon geostats.jl

An extensible framework for high-performance geostatistics in Julia

geostatspy icon geostatspy

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

gs260_resources icon gs260_resources

Tutorials and resources for GS 260 Uncertainty Quantification in Subsurface Systems

hpgl-gui icon hpgl-gui

This is GUI for High Perfomance Geostatistics Library

mh-dir icon mh-dir

Open-source Python implementation of Metropolis-Hastings (MH) to estimate Dirichlet distributed lithology proportions from seismic.

mps-bedmappingv1 icon mps-bedmappingv1

This is the python opensource repo for basal mapping from radar line data using multiple-point geostatistics (MPS)

probability icon probability

Probabilistic reasoning and statistical analysis in TensorFlow

quss icon quss

Companion code for Scheidt, C, Li, L, and Caers, J. K. Quantifying Uncertainty in Subsurface Systems, John Wiley & Sons, 2017.

salib icon salib

Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

scikit-gstat icon scikit-gstat

Geostatistical variogram estimation expansion in the scipy style

serempy icon serempy

Seismic Reservoir Modeling Python package

surfaceuq icon surfaceuq

Test study surface uncertainty quantification

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tree-based_direct_sampling icon tree-based_direct_sampling

This is the first version of the Tree-based Direct Sampling (TDS), with 2D Antactica Topography modeling case as example.

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