youngminoh7 / DeepConvLSTM_Python3
Conversion of the original code to work in Python3
☆14Updated 7 years ago
Alternatives and similar repositories for DeepConvLSTM_Python3:
Users that are interested in DeepConvLSTM_Python3 are comparing it to the libraries listed below
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Encoding human activity by considering salient sensors and time points.☆40Updated 2 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- Explanation of 1D CNN☆57Updated 6 years ago
- ☆33Updated 4 years ago
- Time Series Classification Benchmark with LSTM, VGG, ResNet☆59Updated 7 years ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆186Updated 6 years ago
- Transfer learning for time series classification☆379Updated 5 years ago
- Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"☆29Updated 4 years ago
- GRU-FCN model for univariate time series classification☆26Updated 5 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆58Updated 5 years ago
- ☆40Updated 7 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆160Updated 2 years ago
- Regression with SVR, CNN and CNN-LSTM☆13Updated 4 years ago
- 基于一维卷积神经网络(1D-CNN)的多元时间序列分类☆77Updated 4 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 6 years ago
- Multivariate timeseries similarity compare, MTS, DTW, PCA, CPCA☆27Updated 5 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- ☆8Updated 4 years ago
- Encoding time series as images using GAF operation by pyts.☆220Updated 2 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification☆141Updated 6 years ago
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆23Updated 4 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆49Updated 2 years ago
- 利用各种循环网络进行回归拟合,包括rnn,lstm,nlstm,bilstm☆22Updated 5 years ago
- 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
- DeepConvLSTM implemented in python 3 and pytorch☆26Updated 3 years ago
- 经验模态分解 (Empirical Mode Decomposition)☆52Updated 5 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- Deep neural network aided canonical correlation analysis (DNN-CCA) in Tensorflow and Keras☆13Updated 4 years ago