#AE-based Kernel ICA: Non-linear blind signal decomposition
Work based in the following publication https://www.researchgate.net/publication/330984865_SupernoVAE_VAE_based_kernel_PCA_for_analysis_of_spatio-temporal_Earth_data
The data folder stores the original data + the output of the different autoencoders.
dim_methods.py, and dm_class store the methods for dimensionality reduction.
simple_ae.py and vae.py store the different vae architectures tested.