TS-ICL / README.md
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metadata
license: other
license_name: tsicl-v1-license-v1.0
license_link: LICENSE
model_id: ts-icl
tags:
  - time series
  - foundation model
  - time series imputation
  - timeseries forecasting
pipeline_tag: time-series-forecasting
paper: https://arxiv.org/abs/2606.05878
library_name: tsicl

TS-ICL: A Flexible Time-Index Foundation Model for Time Series via In-Context Learning

Installation

pip install tsicl

Source code available at GitHub - EDF-Lab/ts-icl.

Example notebooks can be found at GitHub - EDF-Lab/ts-icl/notebooks.

Check also the doc here.

License

TS-ICL weights and code are released under a non-commercial license, see LICENSE.

Citation

If you use TS-ICL for research purposes, please consider citing the associated TS-ICL paper:

@article{lenaour2026tsicl,
  title={TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning},
  author={Le Naour, Etienne and Nabil, Tahar and Petralia, Adrien},
  journal={arXiv preprint arXiv:2606.05878},
  year={2026}
}