leifdenby Goto Github PK
Name: Leif Denby
Type: User
Company: Copenhagen, DK
Bio: Senior Scientist, Danish Meteorological Institute, DK & Visiting Scientist, University of Leeds, UK
Blog: leif.denby.eu
Leif Denby's Projects
18s096sciml
18.S096 - Applications of Scientific Machine Learning
18s191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
2020-12-14-archer2-developers-online
advtraj
Trajectory code for MONC data
anemoi-models
atmosdata
Reference information for datasets related to atmospheric research
bayesian-atmos-notes
Notes on Bayesian Inference for Atmospheric Scientists
bayesian-julia
Bayesian Statistics using Julia and Turing
bco_dl
Barbados Cloud Observatory python download utility
booktype
Booktype is a free, open source platform that produces beautiful, engaging books formatted for print, Amazon, iBooks and almost any ereader within minutes.
bootstrap-datetimepicker
Date/time picker widget based on twitter bootstrap
bootstrap-tokenfield
A jQuery tag/token input plugin for Twitter's Bootstrap, by the guys from Sliptree
buildpack-mkdocs
Buildpack for MkDocs
ccfm-profile-synthesis
cdo-bindings
Ruby/Python bindings for CDO
cdoalt
alternative python interface for cdo
cinema_control
Small arduino project to control my home cinema
climatemachine.jl
Climate Machine: an Earth System Model that automatically learns from data
cloud-cover-runtime
Code execution runtime for the Cloud Cover competition
cloud-tracking
Offline cloud-tracking for UCLA-LES
cloud_identification
Cloud-object identification utility
cloudmetrics
An end-to-end implementation to download, characterise and analyse cloud field patterns in satellite observations, using metrics and principal component analysis
cloudmetrics-pipeline
Data processing pipeline for cloud metric calculations
cloudmodels.jl
cmip4xco2
Bayesian fitting of Earth's response to abrupt 4xCO2 forcings
cmo-workshop-eurec4a
NCL scripts for EUREC4A CMO workshop practicals
colorpy
Mark Kness' ColorPy, now on GitHub.
conda-buildpack
Buildpack for Conda.
convml-data
Pipeline for processing data for the triplet-trainer neural network model
convml_tt
Convection classification with machine learning using triplet trainer
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