Alternatives and similar repositories for Human-Activity-Recognition-using-LSTMs-Opportunity-UCI-Dataset-:

Users that are interested in Human-Activity-Recognition-using-LSTMs-Opportunity-UCI-Dataset- 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
• Chaolei98 / Baseline-with-HAR-datasets
  3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…
  ☆53Updated 2 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
• Hangwei12358 / IJCAI2019_DDNN
  Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".
  ☆16Updated 5 years ago
• zhangzhao156 / CNN-for-HAR-on-WISDM-Dataset
  CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)
  ☆20Updated 6 years ago
• STRCWearlab / DeepConvLSTM_py3
  DeepConvLSTM implemented in python 3 and pytorch
  ☆26Updated 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
• iantangc / SelfHAR
  Improving Human Activity Recognition through Self-training with Unlabeled Data
  ☆40Updated 3 years ago
• flowerinheart / AttnSense
  ☆8Updated 6 years ago
• lingjuanlv / LSTM-CNN-model-for-HAR
  LSTM-CNN model for Human Activity Recognition
  ☆23Updated 6 years ago
• saif-mahmud / self-attention-HAR
  [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"
  ☆48Updated 4 years ago
• isukrit / encodingHumanActivity
  Encoding human activity by considering salient sensors and time points.
  ☆40Updated 2 years ago
• quotation2520 / CAGE4HAR
  ☆11Updated 2 years ago
• Koutoulakis / Deep-Learning-for-Human-Activity-Recognition
  ☆40Updated 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 6 years ago
• crocodilegogogo / IF-ConvTransformer-UbiComp2022
  This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"
  ☆33Updated 3 weeks ago
• dilbwagsingh / HAR-using-Federated-Learning
  ☆12Updated 4 years ago
• Hangwei12358 / cross-person-HAR
  Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".
  ☆38Updated 3 years ago
• diheal / resampling
  Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
  ☆11Updated 2 years ago
• akhilmathurs / collossl
  ☆14Updated 2 years ago
• abduallahmohamed / HAR-GCNN
  Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022
  ☆13Updated 2 years ago
• mariusbock / dl-for-har
  Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…
  ☆52Updated last month
• AdelaideAuto-IDLab / Attend-And-Discriminate
  Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors
  ☆23Updated 4 years ago
• markub3327 / HAR-Transformer
  Transformer for Human Activity Recognition
  ☆71Updated 2 years ago
• mmalekzadeh / dana
  DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)
  ☆45Updated 3 years ago
• wdkhuans / DynamicWHAR
  The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…
  ☆23Updated 2 years ago
• Rxannro / HMGAN
  ☆11Updated 2 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).
  ☆64Updated 2 years ago
• halam189 / Gait_Recognition_LSTM
  Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition …
  ☆17Updated 3 years ago
• yolish / har-with-imu-transformer
  Intertial-based Human Activity Recognition with Transformers
  ☆73Updated 4 years ago