OxWearables / ssl-wearables
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
☆114Updated 2 months ago
Alternatives and similar repositories for ssl-wearables:
Users that are interested in ssl-wearables are comparing it to the libraries listed below
- CAPTURE-24: Human activity recognition with activity trackers☆24Updated last month
- Contrastive Learning (SimCLR) for Human Activity Recognition☆72Updated 3 years ago
- Python package for the processing and analysis of Inertial Measurement Unit Data☆64Updated last month
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆38Updated 3 years ago
- Notebooks for Oxford CDT Wearables Data Challenge☆17Updated 3 months ago
- 🏋️ Extract generalizable physiological representations from sensor time-series data with self-supervision (code for CHIL 2021, NeurIPS-W…☆18Updated last year
- Transformer for Human Activity Recognition☆65Updated 2 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆21Updated 11 months ago
- Baseline Machine Learning models for the Human Activity Recognition Trondheim (HARTH) dataset☆24Updated this week
- PaPaGei: Open Foundation Models for Optical Physiological Signals☆40Updated last month
- Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor☆30Updated 5 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆24Updated 2 years ago
- Code for the technical report on the ActiLife counts algorithm.☆35Updated 5 months ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆46Updated 3 years ago
- ☆62Updated last year
- Extracting meaningful health information from large accelerometer datasets☆197Updated 3 weeks ago
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆50Updated 2 months ago
- Python Software Development Kit (SDK) to process wearable sensor data☆21Updated last week
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆18Updated 3 years ago
- A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series☆26Updated 6 months ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆53Updated last month
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 3 years ago
- An electrocardiogram analysis foundation model.☆112Updated last week
- [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS☆51Updated 2 years ago
- Using self-supervised learning to extract features from PPG signals☆16Updated 2 years ago
- ☆22Updated last year
- Repository for the paper 'Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorat…☆34Updated 3 months ago
- A collection of deep learning models for ECG data processing based on fairseq framework☆93Updated last week
- Interpretable Pre-Trained Transformers for Heart Time-Series Data☆29Updated last month