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LatentAssimilation
SCDNN-TS
DA-tutorial-
introduction to DAgcn-lstm-wildfire
Digital-twin-LA-global-wildfire
ML_surrogate_model_wildfires
ML surrogate model which combines ROM, LSTM and DA for dynamical systems such as wildfiresmspcnn-for-dynamic-system
VIVID
ROMS-tutorial
DA_material
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 systemsMEDLA-Multi-domain-encoder-decoder-neural-networks-for-latent-data-assimilation-in-dynamical-systems
drop-coalescence-surrogate-model-and-LA
Breathe-in-Breathe-out
Explainable-AI-for-Drop-Coalescence
DL_Surrogate_JULES_INFERNO
LatentGAN
dscvae-for-drop-coalescence
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