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GitHub topics: residual-lstm-cells

guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

Language: Python - Size: 521 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 319 - Forks: 99

iamaaditya/neural-paraphrase-generation

Neural Paraphrase Generation

Language: Python - Size: 194 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 174 - Forks: 57

shashankpr/DeepSleep

Sleep stage classification using BCG-based pressure signals and residual-biLSTM networks

Language: Python - Size: 37.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2

Related Keywords
residual-lstm-cells 3 tensorflow 2 sleep-research 1 signal-processing 1 machine-learning 1 keras-tensorflow 1 iot 1 deep-learning 1 bi-lstm 1 paraphrase-generation 1 nlp 1 stacked-layers 1 rnn 1 residual-layers 1 lstm 1 human-activity-recognition 1 bidirectional-lstm-cells 1