brajard

Julien Brajard's repositories

GMD-code

Language:Python12 40

reddaml

Code of the paper Brajard et al. 2020 in Philosophical Transactions A (submitted)

Language:Jupyter Notebook4 30

MAT330

Machine learning course for University in Bergen

Language:Jupyter Notebook3 20

nn

tools and example for neural predictor of ocean surface dynamics

Language:Python2 5 10

dynamical-uq

Benchmark for UQ on dynamical systems

Language:Jupyter NotebookMIT1 20

inpainting

Language:Python1 2 1

MAT330-Practical-work

Language:Jupyter Notebook100

uq4pred

Uncertainty quantification for climate predicition

MIT1 70

ai4good-mlocean

Seminar of done for the AI4Good program

020

cours-rob3

cours initiation informatique

Language:TeXCC0-1.0020

aves

020

DA-tutorials

Course on data assimilation (DA)

MIT000

DAPPER

Data Assimilation Package in Python for Experimental Research (DAPPER)

Language:Jupyter NotebookMIT020

Deep-RL-Keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

000

diffadv

020

Geilo-Winter-school

Language:TeX000

GR4J

Language:C020

hbv

Language:C020

Machine-Learning-Experiment

QGS-MAOOAM Machine Learning Experiment

Language:Jupyter Notebook000

MAOOAM

Lua, Fortran and Python implementations of MAOOAM: the Modular Arbitrary-Order Ocean-Atmosphere Model

Language:FortranMIT010

mooc-machine-learning-weather-climate

Language:Jupyter NotebookApache-2.0000

PDE-FIND

Language:Python020

prof

reconstruction velocity profile from surface data

Language:Python020

sechibavar

4D Var for the Sechiba model (generated by YAO)

Language:C++030

shallow

Language:CNOASSERTION020

shalw

Language:Jupyter NotebookNOASSERTION030

Surface_Quasi_Geostrophy

Language:Python020

sw

Language:Python04 1

talks

Language:TeX020

td-rob3

TD/TP pour le cours d'Initiation à l'informatique de ROB3

Language:TeX020