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ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Materialhagelslag
Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.lorenz_gan
Lorenz 96 model with GAN parameterization of unresolved scale (Y).deepsky
Interpretable Deep Learning for Spatial Analysis of Severe Hailstormsswirlnet
Deep learning tutorial for predicting low-level rotation.hagelslag-unidata
Object-based severe weather forecasting system.ucar_sea_2015
Presentation, code, and data for my presentation at the 2015 UCAR SEA ConferenceOWL_Verification
Verification System for the Oklahoma Weather Labmetro_state_spring_2017
Severe Weather Analysis and Forecasting with Python Tools tutorial.ou_grad_5203_fall_2016
Data Analytics Lecture Notesdeepsounding
HWT_mode
Using image recognition to classify storm modes in a numerical model.dissertation_notebooks
Dissertation hail verification notebooksams_ai_storm_mode_contest_2008
Data from the 2008 AMS AI Competition on predicting storm modefield-autoencode
Testbed for autoencoding different kinds of fields.dl-demo-aspsc-2019
Deep Learning Demo for the ASP Summer Colloquium 2019md_project
Project for Visual Analytics that is analyzing Mesoscale Discussions.ncstate_fall_2017
Teaching democi_hackathon_2017
Processing code for Climate Informatics Hackathon 2017.TensorFlow-Pokemon-Course
parf
Automatically exported from code.google.com/p/parfml_class
Machine Learning class notestufte
amsmlpython
cal_rain
California Rainfall Prediction Hackathon for Climate Informatics 2017devtest
ams-ml-python-course-admin
haileval
Shared code for the evaluation of hail forecast models.big_data_challenges_2017
icecaps
Web map visualization of storm-scale ensemble data for CAPS.bootcamp
california_rainfall_test
carbon_export_biomes
jetlation
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