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Repository of Transformer based PyTorch Time Series Models

License: MIT License

Shell 0.01% Python 3.59% Jupyter Notebook 96.41%

pytorch-transformer-ts's Introduction

Pytorch Transformer based Time Series Models

Collection of Transformer based PyTorch Time Series models in the gluonts API.

Prerequisite

pip3 install -U -r requirements.txt

Lag-Llama: Towards Foundation Models for Time Series Forecasting

For the code of the Lag-Llama paper, please use the lag-llama folder.

Note: The full version of the Lag-Llama paper is coming soon with comprehensive results and open-source model checkpoints. Stay Tuned!

Issues

For questions regarding the GitHub repository, please raise an issue here.

For questions regarding the Lag-Llama paper, please contact us at: [email protected], [email protected].

Citation

If you use parts of this codebase, please cite the Lag-llama paper:

@misc{rasul2023lagllama,
      title={Lag-Llama: Towards Foundation Models for Time Series Forecasting}, 
      author={Kashif Rasul and Arjun Ashok and Andrew Robert Williams and Arian Khorasani and George Adamopoulos and Rishika Bhagwatkar and Marin Biloš and Hena Ghonia and Nadhir Vincent Hassen and Anderson Schneider and Sahil Garg and Alexandre Drouin and Nicolas Chapados and Yuriy Nevmyvaka and Irina Rish},
      year={2023},
      eprint={2310.08278},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

pytorch-transformer-ts's People

Contributors

ashok-arjun avatar hstellar avatar kashif avatar mohammadjavadd avatar pablovicente avatar vijit9 avatar vincehass avatar

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