Giters
GHER (gher-uliege)

GHER

gher-uliege

Geek Repo

The GHER is a research group of the University of Liège. It is focused on marine and environmental study and modelling.

Location:Sart Tilman, Liège, Belgium

Home Page:https://www.gher.uliege.be

Twitter:@GHER_ULiege

Github PK Tool:Github PK Tool

GHER's repositories

DINDiff.jl

Data-INterpolating Diffusion Model

Language:JuliaLicense:MITStargazers:0Issues:0Issues:0

DINCAE.jl

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Language:JuliaLicense:GPL-3.0Stargazers:22Issues:0Issues:0

drifter-raspberry-pi

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

DIVAnd-FAIR-EASE

Code to interface DIVAnd with different tools in the FAIR-EASe project

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:0Issues:0

EMODnet-Biology-PhaseV

Code and notes for the EMODnet Biology project

Language:JuliaLicense:MITStargazers:0Issues:0Issues:0

DINCAE_utils.jl

Utility functions for DINCAE

Language:JuliaStargazers:1Issues:0Issues:0

PhysOcean.jl

Utility functions for physical oceanography (properties of seawater, air-sea heat fluxes,...)

Language:JuliaLicense:NOASSERTIONStargazers:26Issues:0Issues:0

DIVAnd.jl

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Language:JuliaLicense:GPL-2.0Stargazers:68Issues:0Issues:0

DIVAnd-singularity

Singularity container for DIVAnd

Language:SingularityLicense:GPL-2.0Stargazers:1Issues:0Issues:0

Diva-Workshops

Code, data and instructions for the Diva workshops

Language:Jupyter NotebookStargazers:16Issues:0Issues:0

EMODnet-Chemistry-GriddedMaps

Scripts for the creation of gridded products based on the Eutrophication datasets

License:MITStargazers:0Issues:0Issues:0

Liege-Colloquium-on-Ocean-Dynamics

Python tools and latex files for the Colloquium

Language:Jupyter NotebookStargazers:2Issues:0Issues:0

gher-uliege.github.io

GeoHydrodynamics and Environment Research

Language:JavaScriptStargazers:3Issues:0Issues:0

liege-colloquium-2024

Language:HTMLStargazers:0Issues:0Issues:0

DIVAndNN.jl

multivariate DIVAnd using a neural network

Language:JuliaLicense:GPL-2.0Stargazers:1Issues:0Issues:0

DIVAnd_HFRadar.jl

High Frequency radar data interpolation with DIVAnd

Language:JuliaLicense:GPL-2.0Stargazers:4Issues:0Issues:0

EMODnet-Chemistry

Utilities (plotting, computing, merging products) related EMODnet-Chemistry.

Language:Jupyter NotebookLicense:LGPL-3.0Stargazers:2Issues:0Issues:0

DINCAE

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Language:PythonLicense:GPL-3.0Stargazers:45Issues:0Issues:0

julia-gher-docker

Language:DockerfileLicense:GPL-2.0Stargazers:0Issues:0Issues:0

OceanPlot.jl

Simple plotting functions for ocean data (handling missing data)

Language:JuliaLicense:NOASSERTIONStargazers:2Issues:0Issues:0

OCEA0036

Structure and application of numerical ocean models (OCEA0036-1)

Language:JuliaStargazers:3Issues:0Issues:0

MVRE-DIVAnd

Jupyter notebook for the interpolation of MOSAIC data with a VRE

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1Issues:0Issues:0

OCEA0097

Data assimilation and inverse methods

Stargazers:2Issues:0Issues:0

Diva-User-Guide

User Guide of the Data Interpolating Variational Analysis (Diva) software tool

Language:TeXStargazers:2Issues:0Issues:0

DIVAnd-jupyterhub

jupyterhub docker image with DIVAnd pre-installed

Language:DockerfileLicense:GPL-2.0Stargazers:3Issues:0Issues:0

DIVA

DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.

Language:FortranLicense:GPL-3.0Stargazers:34Issues:0Issues:0

.github

organization profile

Stargazers:0Issues:0Issues:0

Julia-Earth-Observation-Workshop

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

DIVAnd-presentation

General presentation of DIVAnd

Language:HTMLLicense:Apache-2.0Stargazers:1Issues:0Issues:0

Stareso-Data-Processing

A set of tools to read, plot and process data from STARESO

Language:Jupyter NotebookStargazers:1Issues:0Issues:0