Pretrained models of TimeVQVAE

This is a part of the TimeVQVAE GitHub repository, https://github.com/ML4ITS/TimeVQVAE.

It provides the pretrained models of TimeVQVAE for all the UCR archive datasets. 

For each dataset, there are 7 pretrained models:

• two encoders (one for LF and another for HF), named encoder_l and encoder_h.
• two decoders (one for LF and another for HF), named decoder_l and decoder_h.
• two vector-quantizers (one for LF and another for HF), named  vq_model_l and  vq_model_h.
• maskgit (i.e., the prior model), named maskgit.

Note that the file name format is "model_type-dataset_name".