ThomasMGeo
Software Engineer supporting UCAR through ML workflow development and outreach.
UCARGolden, CO
Pinned Repositories
corebreakout
Segmentation and depth-alignment of geological core sample image columns via Mask-RCNN
1Minute_Python
Quick python, mainly dealing with dataframes and .las files
CheckmateSample
A small utility repo for checkerboard sampling
DenverDataDrivers-Colab
Notebook for use with Denver Data Drivers
grid_explore
Quick repo to check out a few different gridding packages
leapfrogmshreader
A simple reader of leapfrog mesh files, without onerous installation requirements.
LewisML
Machine Learning Models of Lewis Fm.
plotLAS
Simple plotting routine for ASCII well log data. Depends on lasio.
T21-well-data-bonanza
Software Underground Transform 2021 Talk on well data. All doable using Google Colab.
Transform2020
Intro to basic subsurface workflows using Google Colab
ThomasMGeo's Repositories
ThomasMGeo/grid_explore
Quick repo to check out a few different gridding packages
ThomasMGeo/LewisML
Machine Learning Models of Lewis Fm.
ThomasMGeo/CheckmateSample
A small utility repo for checkerboard sampling
ThomasMGeo/netCDF2ML
Testing enviroment to open and use netCDF files with various ML frameworks.
ThomasMGeo/everything_but_ML
A collection of turtorial notebooks to go over data processing and viz
ThomasMGeo/intro_ML_NCAR
Introduction to Machine Learning course offered at NCAR, Fall 2023
ThomasMGeo/MinisomTutorial_Atmo
One notebook Tutorial on the MiniSom package with an Atmospheric data example.
ThomasMGeo/AnscomesQuartetML
Small notebook comparing scikit-learn regression metrics on a classic dataset.
ThomasMGeo/GeothermalGrid
Small, notebook based repository to grid and explore various geothermal datasets and products.
ThomasMGeo/lewiscleanup
Quick notebook to clean up por-perm data
ThomasMGeo/557-2023
ThomasMGeo/Force-2020-Machine-Learning-competition
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
ThomasMGeo/GREMLIN-ML
'shallow' ML on a benchmark atmospheric dataset
ThomasMGeo/hagelslag
Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.
ThomasMGeo/JS2_gpu
Short notebooks to test various machine learning methods on Jetstream2
ThomasMGeo/MapML_Transform22
repository for the Sofware Underground Transform 2022 tutorial
ThomasMGeo/meanderpy
Simple model of meander migration
ThomasMGeo/MiniSOM_tutorial
MiniSOM Tutorial for 2-D Atmospheric Data and Example Using Mean Sea Level Pressure Data
ThomasMGeo/nbviz-to-container
A containerization example that takes a interactive visualization in a Jupyter notebook and turns it in to a containerized web server
ThomasMGeo/ptype-physical
ThomasMGeo/radar-cookbook
A cookbook meant to work with various weather radar data
ThomasMGeo/RasterToXarray
Short utility functions for raster to xarray and point to xarray handeling
ThomasMGeo/regressor_compare
modifed version of Matt Hall's regression comparison script.
ThomasMGeo/science-gateway
Unidata Science Gateway
ThomasMGeo/tds
THREDDS Data Server
ThomasMGeo/thin_section_exploration
Single notebook to look at some non-ML techniques for thin section analysis
ThomasMGeo/ThomasMGeo
My personal readme
ThomasMGeo/WAF_ML_Tutorial_Part1
Python code to assist in familiarizing meteorologists with machine learning
ThomasMGeo/welly
Well handling
ThomasMGeo/xarray
N-D labeled arrays and datasets in Python