My newest project leverages a transformer for time series analysis to emulate the US Forest Service's Wildland Fire Prediction Index Maps. The transformer was able to resemble the maps very well, with correlation values of 0.85 - 0.98 for up to a one-week forecast during fire season over California USA.
Influence of Atmospheric Rivers
on Alaskan River Ice
This analysis explores the impact of atmospheric rivers on air temperature,
precipitation and the timing of river ice breakup throughout Interior Alaska USA.
Interpreting Time Series Machine Learning with Shapley Values
A step by step, low level approach, to Shapley values for interpretive time series analysis. Also introduces a novel methodology that
maintains seasonality in the Shapley value approximation.
My Personal Python Functions & Classes for
Remote Sensing, Data Analysis and More!
This is a repo to organize many of my homeade python functions and classes that have proven
helpful for all kinds of tasks. IMPORTANT NOTE: For all of the repos on this page, if the repo references
a .py file from "Functions" it is refering to this repo. Check it out!
Deep Learning Classes for Easy Hyperparameter Tuning and Training
This repo houses many deep learning models that I have constructed for specific tasks.
The models can easily generalize to fit a wide variety of tasks including: memory efficient
import, HPC, hyperparamer tuning and training.