Shuheng-Li / UniTS-Sensory-Time-Series-ClassificationLinks
Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification
☆21Updated 3 years ago
Alternatives and similar repositories for UniTS-Sensory-Time-Series-Classification
Users that are interested in UniTS-Sensory-Time-Series-Classification are comparing it to the libraries listed below
Sorting:
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)☆56Updated 5 years ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆218Updated 2 years ago
- ☆65Updated 2 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆41Updated 4 years ago
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆30Updated 3 years ago
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- Task-Aware Reconstruction for Time-Series Transformer☆62Updated 2 years ago
- Official implementation of SWL-Adapt.☆14Updated 2 years ago
- ☆17Updated 3 years ago
- ☆124Updated 2 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆125Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆93Updated last year
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆50Updated 2 years ago
- This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learnin…☆12Updated 3 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆43Updated 4 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…☆18Updated 10 months ago
- ☆154Updated 2 years ago
- Code of DeSpaWN ((https://doi.org/10.1073/pnas.2106598119)☆49Updated 3 years ago
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆23Updated 2 years ago
- (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking☆21Updated last year
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆166Updated last year
- Data augmentation using synthetic data for time series classification with deep residual networks☆10Updated 6 years ago
- ☆38Updated last year
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆93Updated last year
- Probabilistic time series modeling in Python☆25Updated 3 years ago
- ☆20Updated 2 years ago
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆29Updated 2 years ago
- ☆25Updated 3 years ago
- a time series anomaly detection method based on the calibrated one-class classifier☆68Updated 3 months ago