Comments (4)
Hi, thank you for your interest in our work! Unfortunately, because of storage issues, I cannot share a persistent download link to our models. Please send me an email so that I can share the models with you.
from unsupervisedscalablerepresentationlearningtimeseries.
from unsupervisedscalablerepresentationlearningtimeseries.
We actually found a solution to store our models, you can check them at https://data.lip6.fr/usrlts/!
from unsupervisedscalablerepresentationlearningtimeseries.
from unsupervisedscalablerepresentationlearningtimeseries.
Related Issues (20)
- General questions regarding hyper parameter. HOT 3
- Wrong data link in HouseholdPowerConsumption.ipynb (?) HOT 2
- Parameter Estimation for Linear Regression for IHEPC dataset HOT 2
- How to recover constant length TS training performance with varying length TS. HOT 2
- Example of Embedding Learning HOT 9
- BUG: some variant length dataset cannot be trained successfully HOT 3
- Performance of Transfer Learning: Train encoder on different datasets HOT 2
- out_channels vs reduced_size HOT 4
- Excellent work HOT 1
- Comparison with Timenet HOT 3
- How to treat incomplete time-series of unequal lengths HOT 2
- args.folders HOT 4
- Visualization of classification result HOT 1
- Multivariate dataset s.t. each variable has a distinct value pattern HOT 1
- About nb_steps and early_stopping HOT 1
- About the extraction of positive and negative samples HOT 8
- Multi-GPU parallel training HOT 1
- How to output the results of downstream tasks after each epoch training HOT 2
- Each training result on the test set HOT 1
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