Thomas Martin's Projects
Quick python, mainly dealing with dataframes and .las files
Small notebook comparing scikit-learn regression metrics on a classic dataset.
Quick script to pull data out of Baker Hughes drilling excel sheets
Bridge your scikit-learn scaler parameters between Python sessions and users. Distribute your scaling across multiple processes and data subsets.
Geophysics library with various helpful functions
Project Pythia Cookbook template
Segmentation and depth-alignment of geological core sample image columns via Mask-RCNN
Script to make a strip log from an abbreviated CSV
Simple script to move from data to standard version 2 well log format
Notebook for use with Denver Data Drivers
A collection of turtorial notebooks to go over data processing and viz
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
Python API for geoh5, an open file format for geoscientific data.
Small, notebook based repository to grid and explore various geothermal datasets and products.
'shallow' ML on a benchmark atmospheric dataset
Quick repo to check out a few different gridding packages
Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Introduction to Machine Learning course offered at NCAR, Fall 2023
Short notebooks to test various machine learning methods on Jetstream2
A simple reader of leapfrog mesh files, without onerous installation requirements.
Quick notebook to clean up por-perm data
Machine Learning Models of Lewis Fm.
repository for the Sofware Underground Transform 2022 tutorial
Simple model of meander migration
resources for building course
MiniSOM Tutorial for 2-D Atmospheric Data and Example Using Mean Sea Level Pressure Data
One notebook Tutorial on the MiniSom package with an Atmospheric data example.
A containerization example that takes a interactive visualization in a Jupyter notebook and turns it in to a containerized web server