UniTS
Summary
UniTS is a unified multi-task time-series model that uses task tokenization and one shared backbone for forecasting, classification, imputation, and anomaly detection.
Role In The Wiki
UniTS is the main requested example of a pretrained time-series model that tries to unify task interfaces, not just forecasting horizons. It is especially useful when comparing separate-head TSFMs with task-token and prompt-token designs.
Official Artifacts
- Project page: https://zitniklab.hms.harvard.edu/projects/UniTS/
- Official code: https://github.com/mims-harvard/UniTS
- Pretrained weights: https://github.com/mims-harvard/UniTS/releases/tag/ckpt