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DLGD2022

This repository provides a number of resources for the 2022 advanced course on Deep Learning and Geophysical Dynamics. It comprises a subdirectory for each lecture:

  • Lecture 1: Deep Learning and Optimization (Prof. Lucas Drumetz)
  • Lecture 2: Deep Differentiable Emulators (Dr. David Greenberg)
  • Lecture 3: Learning and Optimal Transport (Prof. Nicolas Courty)
  • Lecture 4: Deep Learning, OI and Data Assimilation (Prof. Ronan Fablet)

Ressources for the tutorials on DL packages are also available.

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