DataLearning
DL-WG is developed by the Data Learning group, an interdisciplinary group developing pioneering research on fundamental Data Science and Machine Learning
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- Imperial College London
- https://www.imperial.ac.uk/earth-science/research/research-groups/datalearning/
- https://www.imperial.ac.uk/earth-science/research/research-groups/datalearning/
- https://twitter.com/datalearningwg?s=11&t=KQaTxBpjBpVj_Q7F0HVVXA
- channel/UCJxOIKpB1MOhBpk3h3uWhog
- https://www.instagram.com/data_learning_imperial_college/?igshid=YmMyMTA2M2Y=
- datalearningwg@gmail.com
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ML_surrogate_model_wildfires
ML_surrogate_model_wildfires PublicML surrogate model which combines ROM, LSTM and DA for dynamical systems such as wildfires
Repositories
Showing 10 of 48 repositories
- mspcnn-for-dynamic-system Public
DL-WG/mspcnn-for-dynamic-system’s past year of commit activity - Acoustic_emission_-_ML Public
DL-WG/Acoustic_emission_-_ML’s past year of commit activity - DL_Surrogate_JULES_INFERNO Public
DL-WG/DL_Surrogate_JULES_INFERNO’s past year of commit activity - gcn-lstm-wildfire Public
DL-WG/gcn-lstm-wildfire’s past year of commit activity - datalearning-seminars Public
DL-WG/datalearning-seminars’s past year of commit activity - MEDLA-Multi-domain-encoder-decoder-neural-networks-for-latent-data-assimilation-in-dynamical-systems Public
DL-WG/MEDLA-Multi-domain-encoder-decoder-neural-networks-for-latent-data-assimilation-in-dynamical-systems’s past year of commit activity - diameter_inverse Public
DL-WG/diameter_inverse’s past year of commit activity
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