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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.deepsky
Interpretable Deep Learning for Spatial Analysis of Severe Hailstormsswirlnet
Deep learning tutorial for predicting low-level rotation.solar_energy_prediction_contest
Example code for the AMS Solar Energy Prediction Contest (http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest).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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