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Branches Tags. Could not load branches. Could not load tags. Latest commit. Git stats commits. Failed to load latest commit information. View code. Transformers for Time Series Transformer model Dataset and application as metamodel Adaptations for time series Installation Usage Downloading the dataset Running training script Outside usage Building the docs. Transformer model Transformer are attention based neural networks designed to solve NLP tasks.
Their key features are: linear complexity in the dimension of the feature vector ; paralellisation of computing of a sequence, as opposed to sequential computing ; long term memory, as we can look at any input time sequence step directly. This repo will focus on their application to times series. Dataset and application as metamodel Our use-case is modeling a numerical simulator for building consumption prediction. Adaptations for time series In order to perform well on time series, a few adjustments had to be made: The embedding layer is replaced by a generic linear layer ; Original positional encoding are removed.
Installation All required packages can be found in requirements. Releases 3 Attention window Latest. Jan 31, Packages 0 No packages published. You signed in with another tab or window. Transformers - Transformers Transformers - Extras. Transformers DVDRiped. Transformers HD p [H. Transformers [ ]DvDrip-Subzero. Transformers , XviD Swesub-GoeS.
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