djgagne
Machine Learning Scientist II and head of the Machine Integration and Learning for Earth Systems group at the NSF National Center for Atmospheric Research.
NSF National Center for Atmospheric ResearchBoulder, CO
Pinned Repositories
miles-guess
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
deepsky
Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms
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.
lorenz_gan
Lorenz 96 model with GAN parameterization of unresolved scale (Y).
solar_energy_prediction_contest
Example code for the AMS Solar Energy Prediction Contest (http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest).
swirlnet
Deep learning tutorial for predicting low-level rotation.
bridgescaler
Bridge your scikit-learn scaler parameters between Python sessions and users. Distribute your scaling across multiple processes and data subsets.
echo-opt
Earth Computer Hyperparameter Optimization
djgagne's Repositories
djgagne/ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
djgagne/hagelslag
Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.
djgagne/lorenz_gan
Lorenz 96 model with GAN parameterization of unresolved scale (Y).
djgagne/deepsky
Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms
djgagne/GewitterGefahr
End-to-end machine-learning library for predicting thunderstorm hazards.
djgagne/goes16ci
GOES-16 Convective Initiation Benchmark
djgagne/HWT_mode
Using image recognition to classify storm modes in a numerical model.
djgagne/ou_grad_5203_fall_2016
Data Analytics Lecture Notes
djgagne/ams_ai_storm_mode_contest_2008
Data from the 2008 AMS AI Competition on predicting storm mode
djgagne/djgagne.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
djgagne/dl-demo-aspsc-2019
Deep Learning Demo for the ASP Summer Colloquium 2019
djgagne/docker-stacks
Ready-to-run Docker images containing Jupyter applications
djgagne/field-autoencode
Testbed for autoencoding different kinds of fields.
djgagne/WRF
The official repository for the Weather Research and Forecasting (WRF) model
djgagne/awips2
Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.
djgagne/devtest
djgagne/h5py
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
djgagne/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.
djgagne/Herbie
Python for downloading model data (HRRR, RAP, GFS, NBM, etc.) from NOMADS, NOAA's Big Data Program partners (Amazon, Google, Microsoft), and the University of Utah Pando Archive System.
djgagne/jetlation
djgagne/open-data-registry
A registry of publicly available datasets on AWS
djgagne/pangeo
Pangeo website + discussion of general issues related to the project.
djgagne/PUMAS
Parameterization for Unified Microphysics Across Scales
djgagne/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
djgagne/TensorFlow-Pokemon-Course
djgagne/crick
Streaming and approximate algorithms. WIP, use at own risk.
djgagne/d4-team-02
djgagne/pedestrian
Analysis of factors leading to pedestrian fatalities
djgagne/pytdigest
Python package for *fast* TDigest calculation.
djgagne/skew-t-xai