KennCoder7 / HAR-CNN-1d
Human Activity Recognition
☆14Updated 6 years ago
Alternatives and similar repositories for HAR-CNN-1d:
Users that are interested in HAR-CNN-1d are comparing it to the libraries listed below
- Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors☆12Updated 4 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆13Updated 3 years ago
- Project: SC-CNN For HAR☆7Updated 4 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆17Updated last year
- ☆60Updated 2 years ago
- ☆73Updated last year
- This repository provides the codes and data used in our paper "DanHAR: Dual Attention Network For Multimodal Human Activity Recognition U…☆17Updated 3 years ago
- 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 2 months ago
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆17Updated 6 years ago
- ☆10Updated 11 months ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆52Updated 2 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 3 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆28Updated 2 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆16Updated 5 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆27Updated 3 years ago
- Domain Adaptation via Transfer Component Analysis☆13Updated last year
- Official implementation of SWL-Adapt.☆14Updated last year
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆37Updated 3 years ago
- ☆37Updated last year
- This project is the official implementation of ``Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation'' in PyTorch, wh…☆12Updated 2 years ago
- A pytorch implementation for "Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation", which is accepted by CVPR2021.☆31Updated last year
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆26Updated last year
- Code for the paper "LightTS: Lightweight Time Series Classification with Adaptive Ensemble"☆15Updated last year
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆19Updated last year
- ☆8Updated 6 years ago
- 这是论文Unsupervised Domain Adaptation by Backpropagation的复现代码,并完成了MNIST与MNIST-M数据集迁移,master和tf2分支代码为是基于tf2.x,tf1分支代码基于tf1.x☆64Updated 3 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆75Updated 3 years ago