Human Activity Recognition

This project is to build a model that predicts the human activities such as Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing or Laying. This dataset is collected from 30 persons(referred as subjects in this dataset), performing different activities with a smartphone to their waists.

Music Generation

Multi-layer recurrent neural networks for training and sampling from texts, inspired by karpathy/char-rnn. Requirements This code is written in Python 2, and it requires the Keras deep learning library. Usage All input data should be placed in the data/ directory.