floft / codatsLinks
Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)
☆56Updated 4 years ago
Alternatives and similar repositories for codats
Users that are interested in codats are comparing it to the libraries listed below
Sorting:
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆213Updated 2 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆122Updated 2 years ago
- ☆37Updated last year
- Contrastive Learning for Domain Adaptation of Time Series☆91Updated last year
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 3 years ago
- ☆64Updated 2 years ago
- Code for our paper Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021☆18Updated 4 years ago
- ☆122Updated 2 years ago
- ☆141Updated last month
- ☆20Updated last year
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆160Updated last year
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆31Updated last year
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 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 8 months ago
- ☆42Updated 2 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆39Updated 3 years ago
- Multivariate Time Series Classification Model with Attentional Prototype Network☆43Updated 6 years ago
- Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification☆20Updated 3 years ago
- ☆26Updated 2 years ago
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆50Updated last year