Michael Pyrcz (@GeostatsGuy)

Top repositories

1

PythonNumericalDemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Jupyter Notebook
1,325
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2

GeostatsPy

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz
Jupyter Notebook
442
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3

Resources

Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz
345
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4

GeostatsPy_Intro_Course

Introduction to spatial data analytics and machine learning with GeostatsPy Python package
Jupyter Notebook
138
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5

ExcelNumericalDemos

A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
95
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6

2DayCourse

My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
82
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7

GeoDataSets

Synthetic datasets for geoscience (geo)statistical modeling
71
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8

MachineLearningCourse

My graduate level machine learning course, including student machine learning projects.
Jupyter Notebook
61
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9

PGE383_SubsurfaceModeling

Graduate course on subsurface modeling
Jupyter Notebook
32
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10

geostatsr

Geostatistical utilities and tutorial in R. For the tutorials I have included Rmarkdown html files.
HTML
32
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11

GeostatsGuy

Information about me.
28
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12

MachineLearning_StudentProjects

My graduate students complete Machine Learning projects that they have agreed to share.
Jupyter Notebook
24
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13

Machine_Learning

1 Day Machine Learning Course
Jupyter Notebook
21
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14

LectureExercises

The exercises from my Introduction to Geostatistics available on YouTube on the GeostatsGuy Lectures Channel.
R
19
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15

5DayGeostats_DataAnalytics

5-day course on Geostatistics, Data Analytics and Machine Learning
Jupyter Notebook
19
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16

MultivariateModeling

Short course on multivariate modeling
Jupyter Notebook
16
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17

MLTrainingImages

Machine learning training images.
Python
15
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18

InteractivePython

Jupyter Notebook
15
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19

GeostatsLectures

(Geo)statistical course materials released for anyone to use (.pdf format). Enjoy! I'm happy to discuss.
15
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20

GeostatsMachineLearning_Course

14
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21

DataAnalytics_Geostatistics

2 Day short course on spatial stat analytics, geostatistics and machine learning.
Jupyter Notebook
12
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22

2DayCourse_Exercises

Jupyter Notebook
12
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23

SubsurfaceMachineLearning

Short course on subsurface data analytics and machine learning.
10
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24

Geostats_ML_2Day

Two day course on geostats and machine learning
10
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25

GeostatsPy_Course_2

Course on the GeostatsPy Python geostatistics package covering uncertainty modeling with declustering and simulation.
Jupyter Notebook
8
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26

RandomTools

Random tools to support decision making in like
Jupyter Notebook
8
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27

Undergraduate_Research

Undergraduate research projects.
Jupyter Notebook
6
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28

GeostatsPyDemos

Well-documented demonstrations of the GeostatsPy package for geostatistics and spatial data analytics.
6
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29

GSLIB_MacOS

Executables for GSLIB on Mac OS
6
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30

EnergyAI_2021_Hackathon

Jupyter Notebook
6
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31

PGE379_SubsurfaceMachineLearning

Course in subsurface machine learning.
4
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32

Heterogeneity_Course

4
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33

DIRECT

Digital Reservoir Characterization Technology Consortium, UT Austin
4
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34

interactive_geostatr

A collection of interactive geostatistical tutorials in Jupyter Notebooks / Binder.
Jupyter Notebook
4
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35

GSLIB_Windows

Static builds of GSLIB for Windows to solve issues with missing DLL files.
2
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36

RepeatableResearch

Workflows for my published papers for repeatability.
Jupyter Notebook
2
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37

DataScience_Interactive_Python

Python interactive dashboards for learning data science
Jupyter Notebook
2
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38

GSLIBTools

FORTRAN tools to assist with building geostatistical workflows.
Fortran
1
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