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Institute of Environmental Geosciences
- Grenoble
- https://albangossard.github.io/
Highlights
- Pro
Stars
Trajectory simulations for point particles in the Ocean & Atmosphere
Tool repository for accessing and working with ITS_LIVE data.
Global machine learning glacier mass balance framework, capable of assimilating all sources of glaciological and remote sensing data
Presentation on Stochastic Variational Inference prepared for IGE-GeoSciML
🌎 A framework for simulating the Earth system at all scales with prescribed or prognostic atmosphere, ocean, sea ice and land components
docker + docker-compose for Diacamma-syndic application
🌪 Limited area LES-to-mesoscale atmosphere simulations based on Oceananigans
GPU-capable global atmosphere model of the CliMA Earth System Model, designed for calibration with data assimilation and machine learning
Public Repository for the Glacier Mass Balance Intercomparison Exercise (GlaMBIE). See https://glambie.org/ for further details.
A framework for building next-generation differentiable and GPU-accelerated land and ecosystem models in Julia.
High-Performance Scientific Modeling with Julia and SciML
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
Play atmospheric modelling like it's LEGO.
Open-lmake is a generic, fearless build system. It is like make, except that it is user-friendly, versatile, scalable and reliable.
Doing non-Cartesian MR Imaging has never been so easy.
Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3 on the CPU or GPU
magic-trace collects and displays high-resolution traces of what a process is doing
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…
Dispatch and investment model for a fully renewable power sector
This toolbox allows to compute the 2-Wasserstein distance between a 2D images and a set of Dirac masses. Moreover it encompasses curvling constraints w.r.t. the Dirac masses position.