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https://github.com/amazon-science/chronos-forecasting
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Chronos: Pretrained Models for Time Series Forecasting
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| .github | ||
| ci/evaluate | ||
| figures | ||
| notebooks | ||
| scripts | ||
| src/chronos | ||
| test | ||
| .gitignore | ||
| CITATION.cff | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| NOTICE | ||
| pyproject.toml | ||
| README.md | ||
Note
Code coming soon. Code release for WaveToken has been deprioritized due to other engagements. If you are interested in a reference implementation of WaveToken, please open a discussion in this repo.
📝 Citation
If you find the code useful for your research, please consider citing the associated paper:
@InProceedings{masserano2024enhancing,
title={Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization},
author={Masserano, Luca and Ansari, Abdul Fatir and Han, Boran and Zhang, Xiyuan and Faloutsos, Christos and Mahoney, Michael W and Wilson, Andrew Gordon and Park, Youngsuk and Rangapuram, Syama and Maddix, Danielle C and and Wang, Yuyang},
booktitle = {Proceedings of the 40th International Conference on Machine Learning},
year={2025}
}
🛡️ Security
See CONTRIBUTING for more information.
📃 License
This project is licensed under the Apache-2.0 License.