Alternatives and similar repositories for DeepSense:

Users that are interested in DeepSense are comparing it to the libraries listed below

• STRCWearlab / DeepConvLSTM
  Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
  ☆273Updated 6 years ago
• yscacaca / HHAR-Data-Process
  Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…
  ☆29Updated 7 years ago
• guillaume-chevalier / HAR-stacked-residual-bidir-LSTMs
  Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …
  ☆318Updated 2 years ago
• nhammerla / deepHAR
  Code repository for experiments on deep architecture for HAR in ubicomp
  ☆23Updated 7 years ago
• andreas-bulling / ActRecTut
  MATLAB Human Activity Recognition Toolbox
  ☆56Updated 6 years ago
• healthDataScience / deep-learning-HAR
  Convolutional and LSTM networks to classify human activity
  ☆457Updated 6 years ago
• drewanye / har-joint-model
  AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
  ☆28Updated 6 years ago
• buriburisuri / timeseries_gan
  A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
  ☆296Updated 11 months ago
• aqibsaeed / Human-Activity-Recognition-using-CNN
  Convolutional Neural Network for Human Activity Recognition in Tensorflow
  ☆474Updated 2 years ago
• nesl / sensegen
  ☆18Updated 3 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆112Updated 5 years ago
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆281Updated 4 years ago
• Koutoulakis / Deep-Learning-for-Human-Activity-Recognition
  ☆40Updated 7 years ago
• arturjordao / WearableSensorData
  This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…
  ☆100Updated 5 years ago
• jianboyang / CNNHAR
  Deep convolutional neural network for human activity recognition
  ☆22Updated 7 years ago
• njtwomey / har_datasets
  A repository for unified analysis of accelerometer-based human activity recognition.
  ☆35Updated 2 years ago
• mmalekzadeh / replacement-autoencoder
  Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis (IoTDI'18)
  ☆18Updated 3 years ago
• mbinkowski / nntimeseries
  ☆209Updated 6 years ago
• jindongwang / Deep-learning-activity-recognition
  A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
  ☆225Updated 3 years ago
• NLeSC / mcfly-tutorial
  tutorial for mcfly repository
  ☆77Updated last year
• terryum / Data-Augmentation-For-Wearable-Sensor-Data
  A sample code of data augmentation methods for wearable sensor data (time-series data)
  ☆398Updated 4 years ago
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆378Updated 5 years ago
• colincsl / TemporalConvolutionalNetworks
  ☆290Updated 7 years ago
• ani8897 / Human-Activity-Recognition
  Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…
  ☆95Updated 7 years ago
• m-colombo / Tensorflow-EchoStateNetwork
  Echo state network implementation on tensorflow
  ☆69Updated 6 years ago
• RobRomijnders / LSTM_tsc
  An LSTM for time-series classification
  ☆410Updated 7 years ago
• guillaume-chevalier / Linear-Attention-Recurrent-Neural-Network
  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…
  ☆144Updated 6 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆193Updated 7 years ago
• sibosutd / cnn-timeseries
  Use CNN to classify time series data for activity recognition
  ☆26Updated 9 years ago
• curiousily / TensorFlow-on-Android-for-Human-Activity-Recognition-with-LSTMs
  iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
  ☆193Updated 4 years ago