Implemented Markov transition matrices and autocorrelation calculations in utils.py; EarlyStopping now works on val_intercomponent_mmd instead of val_mae in model_training.py

Implemented Markov transition matrices and autocorrelation calculations in utils.py; EarlyStopping now works on val_intercomponent_mmd instead of val_mae in model_training.py

Implemented Markov transition matrices and autocorrelation calculations in utils.py; EarlyStopping now works on val_intercomponent_mmd instead of val_mae in model_training.py

Implemented mmd between Gaussian mixture components to track cluster overlapping. Adding a term to the loss function is an option

Implemented mmd between Gaussian mixture components to track cluster overlapping. Adding a term to the loss function is an option

Implemented mmd between Gaussian mixture components to track cluster overlapping. Adding a term to the loss function is an option

Implemented mmd between Gaussian mixture components to track cluster overlapping. Adding a term to the loss function is an option

Implemented mmd between Gaussian mixture components to track cluster overlapping. Adding a term to the loss function is an option

Implemented version of SEQ_2_SEQ VAE based on tensorflow_probability, and SEQ_2_SEQ_GMVAE draft using tensorflow_probability

Instanciated a mean and a variance for each component, and the categorical prior as a Dense layer with a softmax activation