GitHub - 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, just like any other RNN. (LARNN) - discu.eu

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GitHub - guillaume-chevalier/LSTM-Human-Activity-Recognition: Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition 8 comments
LSTMs for Human Activity Recognition - Guillaume Chevalier's Blog https://guillaume-chevalier.com/lstms-for-human-activity-recognition/ 0 comments

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