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ams-latex

American Meteorological Society LaTeX Stuff

ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

ams-ml-python-course-admin

ams_ai_storm_mode_contest_2008

Data from the 2008 AMS AI Competition on predicting storm mode

amsmlpython

awips2

Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.

big_data_challenges_2017

bootcamp

cal_rain

California Rainfall Prediction Hackathon for Climate Informatics 2017

california_rainfall_test

carbon_export_biomes

ci_hackathon_2017

Processing code for Climate Informatics Hackathon 2017.

crick

Streaming and approximate algorithms. WIP, use at own risk.

data

Data and code behind the stories and interactives at FiveThirtyEight

deepsky

Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms

deepsounding

devtest

dissertation_notebooks

Dissertation hail verification notebooks

djgagne.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

dl-demo-aspsc-2019

Deep Learning Demo for the ASP Summer Colloquium 2019

docker-stacks

Ready-to-run Docker images containing Jupyter applications

el_nino_ramp

field-autoencode

Testbed for autoencoding different kinds of fields.

gewittergefahr

End-to-end machine-learning library for predicting thunderstorm hazards.

goes16ci

GOES-16 Convective Initiation Benchmark

h5py

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

hagelslag

Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.

hagelslag-unidata

Object-based severe weather forecasting system.

haileval

Shared code for the evaluation of hail forecast models.

hands-on-examples

A series of Jupyter notebooks that walk you through the fundamentals of Python, Scientific Computing and Visualization, Machine Learning in Python, etc.