yscacaca / DeepSenseLinks
Deepsense: a unified deep learning framework for time-series mobile sensing data processing.
☆199Updated 6 years ago
Alternatives and similar repositories for DeepSense
Users that are interested in DeepSense are comparing it to the libraries listed below
Sorting:
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆282Updated 7 years ago
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆324Updated 3 years ago
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Updated 8 years ago
- MATLAB Human Activity Recognition Toolbox☆57Updated 9 months ago
- Code repository for experiments on deep architecture for HAR in ubicomp☆25Updated 8 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆299Updated last year
- TensorFlow LSTM-autoencoder implementation☆192Updated 7 years ago
- Python 3.6+ (only)☆114Updated 6 years ago
- Scientific time series and deep learning state of the art☆281Updated 5 years ago
- ☆209Updated 7 years ago
- Convolutional and LSTM networks to classify human activity☆465Updated 6 years ago
- neural style tranfer from one walking/gait cycle to another; ArXiv:1606.03238 & ArXiv:1508.06576☆14Updated 8 years ago
- Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis (IoTDI'18)☆18Updated 4 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆146Updated 7 years ago
- An LSTM for time-series classification☆416Updated 8 years ago
- Extra Layers for Keras to connect CNN with RNN☆154Updated 9 years ago
- Use CNN to classify time series data for activity recognition☆27Updated 9 years ago
- Multi channel deep convolutional neural network for time series classification☆55Updated 9 years ago
- A CNN for time-series classification☆156Updated 8 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆146Updated 5 years ago
- Feeding images of time series to Conv Nets! (Tensorflow + Keras)☆49Updated 8 years ago
- Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle☆97Updated 9 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 7 years ago
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆484Updated 3 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 8 years ago
- Clockwork RNN in TensorFlow☆61Updated 7 years ago
- Example code for neural-network-based anomaly detection of time-series data (uses LSTM)☆184Updated 8 years ago
- ☆76Updated 9 years ago
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0☆128Updated 7 years ago