Jordi Bolibar (JordiBolibar)

JordiBolibar

Geek Repo

Company:IGE - Université Grenoble Alpes

Location:Grenoble (France)

Home Page:https://jordibolibar.wordpress.com

Twitter:@jordi_bolibar

Github PK Tool:Github PK Tool


Organizations
CryoInTheCloud
ige-calcul
Machine-Learning-in-Glaciology-Workshop
ODINN-SciML
OGGM

Jordi Bolibar's repositories

ALPGM

ALpine Parameterized Glacier Model (ALPGM v1.2). Open-source regional glacier evolution model based on deep learning and parametrizations.

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Glaciers-to-J2K

Allows J2K to read glacier evolution simulations from any glacier model. Dynamic glacier evolution for the J2K hydrological model

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cryosphere-links

This is a link list with awesome data, models, and tools around the cryosphere.

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ODINN.jl

Global glacier model using Universal Differential Equations for climate-glacier interactions

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J2K-glacier

J2K hydrological model (Krause et al., 2001) augmented with dynamic glacier evolution based on the ALpine Parameterized Glacier Model (ALPGM; Bolibar, 2020)

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Project_MB_Regression

Tutorial to learn how to train different machine learning methods to model glacier mass balance.

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SphereUDE.jl

A Julia package for regression in the sphere based on Universal Differential Equations

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AIR-suitability-index

Quantifying winter water storage potential of glacial-fed catchments using artificial ice reservoirs (aka icestupas) of

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ALPGM_data

Datasets (shapefiles and raster files) used in ALPGM

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alpine-climate

Past and future climate analysis in the French Alps using SAFRAN (Durand et al., 2009) and ADAMONT (Verfaillie et al., 2018)

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DiffEqDocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

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DiffEqFlux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

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DiffEqOperators.jl

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

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DiffEqSensitivity-Review

A Review of Sensitivity Methods for Differential Equations

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Huginn.jl

Glacier ice flow universal differential equations models

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JordiBolibar

Personal repository

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MassBalanceMachine

Global machine learning glacier mass balance modelling, capable of assimilating all sources of glaciological and remote sensing data

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MC-Toolkit

Materials for MC-Toolkit meetings at IGE

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Muninn.jl

Machine learning glacier mass balance models for ODINN.jl

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Optimization.jl

Local, global, and beyond optimization for scientific machine learning (SciML)

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Sleipnir.jl

Base structures for ODINN.jl

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surface_classification

Unsupervised surface classification on ICESat-2's ATL03

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timeseries-2-kml

Converts an array with time series to KML polygons, in order to produce animations using shapefiles.

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UDESphere

Fitting Paths in the Sphere using UDEs

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Zygote.jl

Intimate Affection Auditor

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