Alternatives and similar repositories for Time-Series-Classification-for-Human-Activity-Recognition:

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

• esansano / dl-for-har-comparison
  Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.
  ☆17Updated last year
• saif-mahmud / self-attention-HAR
  [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"
  ☆48Updated 3 years ago
• jchiang2 / Human-Activity-Recognition
  Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.
  ☆56Updated 5 years ago
• isukrit / encodingHumanActivity
  Encoding human activity by considering salient sensors and time points.
  ☆40Updated last year
• zhangzhao156 / CNN-for-HAR-on-WISDM-Dataset
  CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)
  ☆20Updated 6 years ago
• Cassie07 / Using-neural-network-for-HAR
  Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)
  ☆15Updated 6 years ago
• vvanggeng / TSC-CNN
  基于一维卷积神经网络（1D-CNN）的多元时间序列分类
  ☆73Updated 4 years ago
• meitetsu3 / 1DCNN
  Explanation of 1D CNN
  ☆56Updated 6 years ago
• iantangc / SelfHAR
  Improving Human Activity Recognition through Self-training with Unlabeled Data
  ☆39Updated 3 years ago
• iantangc / ContrastiveLearningHAR
  Contrastive Learning (SimCLR) for Human Activity Recognition
  ☆73Updated 3 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 6 years ago
• roytalman / LSTM-FCN-Pytorch
  Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"
  ☆27Updated 4 years ago
• Deep-AI-Application-DAIP / acoustic-leakage-dataset-GPLA-12
  Shared New Acoustic Leakage Data Set
  ☆12Updated 3 years ago
• dspanah / Sensor-Based-Human-Activity-Recognition-DeepConvLSTM-Pytorch
  DeepConvLSTM model for sensor-based human activity recognition in Pytorch
  ☆39Updated 5 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).
  ☆63Updated 2 years ago
• DimasDMM / time-series-classification
  Binary Time Series Classification using two different approaches: LSTM with Dropout and LSTM with Attention.
  ☆13Updated 4 years ago
• viniciuserra / Gearbox-Hybrid-CNN-SVM
  The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…
  ☆22Updated last year
• yashbhagat3 / Human-Activity-Recognition-using-LSTMs-Opportunity-UCI-Dataset-
  ☆8Updated 4 years ago
• Koutoulakis / Deep-Learning-for-Human-Activity-Recognition
  ☆40Updated 7 years ago
• tengqi159 / human-activity-recognition
  The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition
  ☆20Updated 4 years ago
• markub3327 / HAR-Transformer
  Transformer for Human Activity Recognition
  ☆65Updated 2 years ago
• quotation2520 / CAGE4HAR
  ☆10Updated 2 years ago
• DigitalBiomarkerDiscoveryPipeline / Human-Activity-Recognition
  Multimodal human activity recognition using wrist-worn wearable sensors.
  ☆45Updated 4 years ago
• renqi1 / Time_Series_Classification
  ☆50Updated last year
• soloyuyang / CEEMDAN
  for de-noising
  ☆30Updated 7 years ago
• lingjuanlv / LSTM-CNN-model-for-HAR
  LSTM-CNN model for Human Activity Recognition
  ☆23Updated 6 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆24Updated 5 years ago
• Hangwei12358 / IJCAI2019_DDNN
  Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".
  ☆16Updated 4 years ago
• AdelaideAuto-IDLab / Attend-And-Discriminate
  Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors
  ☆23Updated 3 years ago
• peijii / BioAug
  Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time s…
  ☆17Updated last month