Julien Brajard's Projects
Seminar of done for the AI4Good program
cours initiation informatique
Course on data assimilation (DA)
Data Assimilation Package in Python for Experimental Research (DAPPER)
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Benchmark for UQ on dynamical systems
QGS-MAOOAM Machine Learning Experiment
Lua, Fortran and Python implementations of MAOOAM: the Modular Arbitrary-Order Ocean-Atmosphere Model
Machine learning course for University in Bergen
tools and example for neural predictor of ocean surface dynamics
reconstruction velocity profile from surface data
Code of the paper Brajard et al. 2020 in Philosophical Transactions A (submitted)
4D Var for the Sechiba model (generated by YAO)
TD/TP pour le cours d'Initiation à l'informatique de ROB3
Uncertainty quantification for climate predicition