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Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

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DeepConvLSTM model for sensor-based human activity recognition in Pytorch

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DeepConvLSTM implemented in python 3 and pytorch

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Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors

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Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch

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MATLAB implementation of gait cycle validation and segmentation using inertial sensors.

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gesture recognition toolkit

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ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)

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