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Welcome to my Github page

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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:

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Redouane Lguensat's Projects

analogmocap icon analogmocap

Analog Forward Backward for the Mocap missing data estimation

anda icon anda

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

coriander-vs-parsley icon coriander-vs-parsley

Classification of القزبر (coriander) and المعدنوس (parsley) using convnets

dinae icon dinae

Reconstructing misssing data using autoencoders

eddynet icon eddynet

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

enatl60 icon enatl60

This repository describes eNATL60 simulations performed by Ocean Next and the MEOM group @ IGE in 2019.

mocap icon mocap

Matlab software for processing motion capture files.

qgsw-di icon qgsw-di

Quasigeostrophic shallow-water model for Dynamic Interpolation of SSH

rfablet.github.io icon rfablet.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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