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DataLearning (@DL-WG)

DL-WG

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54
Global Org. Rank 76,958 (Top 25 %)
Registered about 4 years ago
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Jupyter Notebook
57.9 %

Python
36.8 %

C++
5.3 %
Location 🇬🇧 United Kingdom
Country Total Rank 21,374
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Jupyter Notebook
771

Python
4,153

C++
6,874

LatentAssimilation

SCDNN-TS

DA-tutorial-

introduction to DA

Jupyter Notebook

gcn-lstm-wildfire

Jupyter Notebook

Digital-twin-LA-global-wildfire

Jupyter Notebook

ML_surrogate_model_wildfires

ML surrogate model which combines ROM, LSTM and DA for dynamical systems such as wildfires

mspcnn-for-dynamic-system

Jupyter Notebook

VIVID

ROMS-tutorial

Jupyter Notebook

DA_material

Jupyter Notebook

GLA_with_ROSM

In this project, we introduce the Generalised Latent Assimilation (GLA) approach which can be used in Machine learning surrogate modelling for dynamical systems

MEDLA-Multi-domain-encoder-decoder-neural-networks-for-latent-data-assimilation-in-dynamical-systems

Jupyter Notebook

drop-coalescence-surrogate-model-and-LA

Jupyter Notebook

Breathe-in-Breathe-out

Explainable-AI-for-Drop-Coalescence

Jupyter Notebook

DL_Surrogate_JULES_INFERNO

Jupyter Notebook

LatentGAN

ViTAE

ViTAE: a vision transformer-based autoencoder and spatial interpolation learner for field reconstruction

dscvae-for-drop-coalescence

Jupyter Notebook