rmcgranaghan
I blend aerospace engineering, space science, and data science to enable a new frontier for space. Focused on machine learning and cloud-based applications
Pinned Repositories
AGU-2022
A repository containing resources for the AGU Fall Meeting 2022 Meeting
awesome-helio
A curated list of datasets, tools and papers for machine learning in heliophysics.
Critical-Risk-Indicators-CRIs-for-the-electric-power-grid
This repository holds resources to reproduce and further explore analyses in the accompanying manuscript
data_science_tools_and_resources
Helio-KNOW
Software and systems for improved information representation in Heliophysics
Introduction-to-neural-networks
This is a brief, high-level introduction to neural networks that I crafted for a presentation at NASA
machine-learning-with-GNSS-data
predicting high-latitude ionospheric phase scintillation with Global Navigation Satellite Systems (GNSS) signals
NSF_CHESS
precipNet
Space-Weather-Ontology
rmcgranaghan's Repositories
rmcgranaghan/data_science_tools_and_resources
rmcgranaghan/Introduction-to-neural-networks
This is a brief, high-level introduction to neural networks that I crafted for a presentation at NASA
rmcgranaghan/machine-learning-with-GNSS-data
predicting high-latitude ionospheric phase scintillation with Global Navigation Satellite Systems (GNSS) signals
rmcgranaghan/AGU-2017
Materials related to my AGU 2017 poster
rmcgranaghan/AGU-2018
Materials from presentations, meetings, and work related to the American Geophysical Union (AGU) 2018 Fall Meeting
rmcgranaghan/geospacepy-lite
Some standalone utility modules for space science
rmcgranaghan/GNSS_ASI_prototype
Scripts to calculate GNSS ionospheric pierce points and corresponding ASI imagery brightnesses using CHAIN data
rmcgranaghan/HelioML
A book about machine learning, statistics, and data mining for heliophysics
rmcgranaghan/non_traditional_funding_sources
This repository is intended to contain and provide information about non-traditional funding sources that facilitate research and efforts that do not fit (neatly) into any existing domain alone
rmcgranaghan/OvationPyme
Ovation Prime 2010 in Python
rmcgranaghan/prediction-evaluation-dashboard
Provides a Jupyter notebook environment for robust evaluation of predictive model performance. The tools are designed to be model-agnostic.
rmcgranaghan/pyto
Named because I make lots of pytos. Err, typos.