mmalekzadeh / danaLinks
DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)
☆47Updated 4 years ago
Alternatives and similar repositories for dana
Users that are interested in dana are comparing it to the libraries listed below
Sorting:
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- ☆66Updated 2 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆40Updated 4 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆26Updated 3 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆70Updated 2 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆104Updated 6 years ago
- Transformer for Human Activity Recognition☆76Updated 2 years ago
- (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking☆20Updated last year
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆22Updated 5 years ago
- Encoding human activity by considering salient sensors and time points.☆42Updated 2 years ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆60Updated 7 months ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆37Updated 2 years ago
- ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition☆12Updated 4 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆27Updated 4 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆88Updated 5 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 5 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆18Updated 2 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆31Updated 4 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆356Updated 4 years ago
- CAPTURE-24: Human activity recognition with activity trackers☆45Updated 11 months ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆137Updated last year
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆22Updated 3 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆30Updated 3 years ago
- (KDD’24) Using Self-Supervised Learning Can Improve Model Fairness.☆11Updated last year
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆19Updated 3 years ago
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆14Updated 6 years ago