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guillaume-chevalier/Linear-Attention-Recurrent-Neural-Network

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, ju…

Owner
guillaume-chevalier (personal account)
Stars
Stars: 148
Forks
Forks: 32
Language
Jupyter Notebook
License
MIT
Created
2018
Topics
rnnlstmattention-mechanismattention-modelattention-is-all-you-needrecurrent-neural-networkspytorch
Tier
Prototype (100 to 249 ★) What this tier means
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