gornes / Human_Activity_RecognitionLinks
Galvanize capstone project for classifying human activity of daily living using uci machine learning smartphones data set.
☆17Updated 10 years ago
Alternatives and similar repositories for Human_Activity_Recognition
Users that are interested in Human_Activity_Recognition are comparing it to the libraries listed below
Sorting:
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆324Updated 3 years ago
- C3D for Keras (only Tensorflow backend at the moment) with easy preprocessing and automatic downloading of TF format sports1M weights☆34Updated 8 years ago
- girishp92 / Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-SmartphonesThis 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
- A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…☆71Updated 2 years ago
- LSTM based human activity recognition using smart phone sensor dataset☆22Updated 8 years ago
- ☆11Updated 8 years ago
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆199Updated 6 years ago
- CNN architecture exploration using Genetic Algorithm☆222Updated 3 years ago
- RBM/DBN implementation with tensorflow attempt project☆80Updated 9 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 7 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆54Updated 6 years ago
- Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification☆140Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- Ensembling ConvNets using Keras☆75Updated 6 years ago
- An end-to-end system that performs temporal recognition of gesture sequences using speech and skeletal input. The model combines three ne…☆29Updated 6 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆196Updated 4 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆282Updated 7 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆52Updated 3 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
- 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
- Deep Neural Network Ensembles for Time Series Classification☆112Updated 2 years ago
- ☆89Updated 7 years ago
- Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim☆180Updated 7 years ago
- Video Action Classification Using Spatial Temporal Clues. Original paper: arXiv:1504.01561☆23Updated 7 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆99Updated 7 years ago
- Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis (IoTDI'18)☆18Updated 4 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 7 years ago
- Stock price prediction using ensemble MLP in PyTorch.☆35Updated 8 years ago
- Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN☆28Updated 8 years ago