Pinned Repositories
Debug-Logfiles4Lisa
线上记事本
firstHello
The repo for learning how the usage of githup
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.
lisa-caffe-public
Lisa Anne's public caffe code.
LSTM-Human-Activity-Recognition
Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
ReInspect
End to end detection in crowded scenes
Limestones's Repositories
Limestones/Debug-Logfiles4Lisa
线上记事本
Limestones/firstHello
The repo for learning how the usage of githup
Limestones/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.
Limestones/lisa-caffe-public
Lisa Anne's public caffe code.
Limestones/LSTM-Human-Activity-Recognition
Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
Limestones/ReInspect
End to end detection in crowded scenes