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Transformer Based Models
Transformer Based Models
Transformer Bottleneck
Flow forecast implementation
Stream Flow Forecast Example
Solar Energy Forecasting Example
Succinct summary: A variation of the transformer that replaces standard self attention with convolutions for the query and value vectors. Uses learned positional embedding. Preformed well large temporal datasets.
Model Additions
We added another final layer to enable variable length forecasts. Currently using that to see how the model performs with variable forecast_length. You can choose to exclude this layer if you desire.
We also enabled the model to work with standard loss functions (MSE, RMSE, etc).
Currently working on incorporating meta-data into the model.
Simple Transformer
Original Paper
River Flow Forecasting Example
Succinct summary: This is a vari
Transformer Decoder
Informer
, multiple selections available,
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Training Deep Time Series Classification/Anomaly Models
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Multimodal Data-Loader
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