Alternatives and similar repositories for Human-Activity-Recognition

Users that are interested in Human-Activity-Recognition are comparing it to the libraries listed below

• 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 …
  ☆321Updated 2 years ago
• servomac / Human-Activity-Recognition
  Use a LSTM network to predict human activities from sensor signals collected from a smartphone
  ☆52Updated 3 years ago
• jindongwang / Deep-learning-activity-recognition
  A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
  ☆231Updated 3 years ago
• Koutoulakis / Deep-Learning-for-Human-Activity-Recognition
  ☆41Updated 8 years ago
• lingjuanlv / LSTM-CNN-model-for-HAR
  LSTM-CNN model for Human Activity Recognition
  ☆23Updated 7 years ago
• drewanye / har-joint-model
  AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
  ☆29Updated 7 years ago
• hardik04021996 / Human-Activity-Recognition-using-machine-learning
  Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…
  ☆24Updated 7 years ago
• aqibsaeed / Human-Activity-Recognition-using-CNN
  Convolutional Neural Network for Human Activity Recognition in Tensorflow
  ☆482Updated 2 years ago
• aiff22 / HAR
  ☆36Updated 8 years ago
• ethancaballero / gait-cycle-transfer
  neural style tranfer from one walking/gait cycle to another; ArXiv:1606.03238 & ArXiv:1508.06576
  ☆14Updated 8 years ago
• healthDataScience / deep-learning-HAR
  Convolutional and LSTM networks to classify human activity
  ☆463Updated 6 years ago
• STRCWearlab / DeepConvLSTM
  Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
  ☆281Updated 7 years ago
• esansano / dl-for-har-comparison
  Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.
  ☆18Updated 2 years ago
• zhangzhao156 / CNN-for-HAR-on-WISDM-Dataset
  CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)
  ☆20Updated 7 years ago
• girishp92 / Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones
  This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learnin…
  ☆85Updated 8 years ago
• deadskull7 / Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variables
  The VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was ach…
  ☆85Updated 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…
  ☆102Updated 6 years ago
• Adityav2410 / HAPT-Recognition
  Human Activities and Postural Transitions’ Recognition using Smartphone Data
  ☆14Updated 8 years ago
• sBavisetti / K-fold-Cross-Validation
  K- fold cross validation for KNN , Linear Regression and Centroid classifiers
  ☆10Updated 8 years ago
• dspanah / Sensor-Based-Human-Activity-Recognition-DeepConvLSTM-Pytorch
  DeepConvLSTM model for sensor-based human activity recognition in Pytorch
  ☆40Updated 6 years ago
• tploetz / LSTMEnsemble4HAR
  sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)
  ☆18Updated 7 years ago
• sagarvegad / Video-Classification-CNN-and-LSTM-
  To classify video into various classes using keras library with tensorflow as back-end.
  ☆279Updated 5 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 8 years ago
• jindongwang / activityrecognition
  Resources about activity recognition-行为识别资料
  ☆929Updated 6 years ago
• MadhavShashi / Human-Activity-Recognition-Using-Smartphones-Sensor-DataSet
  Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…
  ☆89Updated 5 years ago
• STRCWearlab / DeepConvLSTM_py3
  DeepConvLSTM implemented in python 3 and pytorch
  ☆27Updated 4 years ago
• bhimmetoglu / time-series-medicine
  Code and documentation for seizure prediction from EEG data
  ☆57Updated 8 years ago
• jchiang2 / Human-Activity-Recognition
  Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.
  ☆60Updated 6 years ago
• takumiw / Deep-Learning-for-Human-Activity-Recognition
  Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
  ☆70Updated 2 years ago
• Ectsang / 3D-CNN-Keras
  http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html
  ☆70Updated 8 years ago