Source code for Twitter's Recommendation Algorithm

Human activity recognition using wearable sensors by heterogeneous convolution neural networks.

3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset.

Human Activity Recognition

Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors

Tensorflow (Keras) implementation of ICLR 2018 paper Learn To Pay Attention.

Deep Neural Networks (MLP,CNN,RNN) implemented in NumPy.

PyTorch implementation of ICLR 2018 paper Learn To Pay Attention.

For save and restore model test