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training my models...
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training my models...

Highlights

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Organizations

@pangeo-data @CIA-Oceanix @ocean-data-challenges @NEMO-RD

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redouanelg/README.md

Welcome to my Github page

ORCID Google Scholar Twitter LinkedIn

I am interested in Machine learning for oceanic, atmospheric and climate sciences. My PhD thesis consisted in the use of analog methods (K-Nearest Neighbor Regression) to develop a new data-driven approach to tackle data assimilation: the Analog Data Assimilation (AnDA). In parallel to my thesis I investigated the use of deep learning methods for the segmentation of oceanic eddies from satellite-derived sea related maps.

ML & Climate

Currently, I am a IRD Research Enginner and Statistician at the IPSL Climate Modeling Center in Sorbonne Université, Paris, France.

Outreach

In my spare time, I make machine learning courses in Darija (Moroccan Arabic), check for example my collaboration with Alfihrya Academy, or other activties under the umbrella of MoroccoAI

How to connect with me:email:

Mail
Twitter
LinkedIn

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  1. EddyNet EddyNet Public

    EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies

    Jupyter Notebook 66 25

  2. TeachingMaterials TeachingMaterials Public

    Jupyter Notebook 7 1

  3. AnDA AnDA Public

    Forked from ptandeo/AnDA

    ¡AnDA! is a Python library for the Analog Data Assimilation.

    Jupyter Notebook 1 1

  4. qgsw-DI qgsw-DI Public

    Quasigeostrophic shallow-water model for Dynamic Interpolation of SSH

    Jupyter Notebook 4 3

  5. AppliedMathsInDarija AppliedMathsInDarija Public

    Topics on Applied Maths in Moroccan Darija

    Jupyter Notebook 28 9

  6. PB_ANDA PB_ANDA Public

    Forked from huynhvp/PB_ANDA

    Python 1