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@Machine-Learning-in-Glaciology-Workshop

ML in Glaciology Workshop

Workshop on Machine Learning applied to Glaciology, hosted at the Finse research station (Norway)
README.md

Machine Learning in Glaciology training workshop

Finse research station, Norway

This training workshop is designed to connect researchers at all career stages who are interested in the intersection of glaciology and machine learning. This workshop is targeted towards researchers/students who already have basic to medium programming and machine learning skills and want to increase their skills in machine learning related to glaciology. The number of participants is limited to approximately 25 due to the housing limitations at the Finse Research Center. This workshop is primarily project based. You can learn more about the projects on the projects page. All the lecture materials are gathered in a Jupyter Book, which is being updated iteratively with participant's feedback.

Workshop organizers

Local organizing committee:

Thomas Schellenberger (University of Oslo)
Regine Hock (University of Oslo & University of Alaska Fairbanks)

Workshop organizers and instructors:

Jordi Bolibar (Université Grenoble Alpes)
Regine Hock (University of Oslo & University of Alaska Fairbanks)
Konstantin Maslov (University of Twente)
Facundo Sapienza (UC Berkeley)
Thomas Schellenberger (University of Oslo)
Kamilla Hauknes Sjursen (Western Norway University of Applied Sciences)

The workshop is supported by the following institutions:






The course is sponsored by a TU Delft Climate Action grant, the Research Council of Norway project MASSIVE and the International Association of Cryospheric Sciences (IACS).

Popular repositories Loading

  1. Project_MB_Regression Project_MB_Regression Public

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

    Jupyter Notebook 22 40

  2. ML_for_Glacier_Modelling ML_for_Glacier_Modelling Public

    Theory and presentations on Machine learning applied to glacier modelling

    8 2

  3. Glacier-Mapping-with-Deep-Learning Glacier-Mapping-with-Deep-Learning Public

    Jupyter Notebook 6 17

  4. Lecture-materials Lecture-materials Public

    Notes for Instructions

    Jupyter Notebook 2

  5. .github .github Public

    1

  6. Machine-Learning-in-Glaciology-Workshop.github.io Machine-Learning-in-Glaciology-Workshop.github.io Public

    HTML

Repositories

Showing 6 of 6 repositories
  • Glacier-Mapping-with-Deep-Learning Public
    Machine-Learning-in-Glaciology-Workshop/Glacier-Mapping-with-Deep-Learning’s past year of commit activity
    Jupyter Notebook 6 17 0 0 Updated Sep 8, 2024
  • Project_MB_Regression Public

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

    Machine-Learning-in-Glaciology-Workshop/Project_MB_Regression’s past year of commit activity
    Jupyter Notebook 22 MIT 40 2 0 Updated Sep 8, 2024
  • Machine-Learning-in-Glaciology-Workshop.github.io Public
    Machine-Learning-in-Glaciology-Workshop/Machine-Learning-in-Glaciology-Workshop.github.io’s past year of commit activity
    HTML 0 MIT 0 0 0 Updated Sep 4, 2024
  • .github Public
    Machine-Learning-in-Glaciology-Workshop/.github’s past year of commit activity
    1 0 0 0 Updated Sep 4, 2024
  • Lecture-materials Public

    Notes for Instructions

    Machine-Learning-in-Glaciology-Workshop/Lecture-materials’s past year of commit activity
    Jupyter Notebook 2 0 0 0 Updated Sep 5, 2022
  • ML_for_Glacier_Modelling Public

    Theory and presentations on Machine learning applied to glacier modelling

    Machine-Learning-in-Glaciology-Workshop/ML_for_Glacier_Modelling’s past year of commit activity
    8 MIT 2 0 0 Updated Aug 29, 2022

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