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## Instructions for Contributing to TSlib
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Sincerely thanks to all the researchers who want to use or contribute to TSlib.
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Since our team may not have enough time to fix all the bugs and catch up with the latest model, your contribution is essential to this project.
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### (1) Fix Bug
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You can directly propose a pull request and add detailed descriptions to the comment, such as [this pull request](https://github.com/thuml/Time-Series-Library/pull/498).
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### (2) Add a new time series model
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Thanks to creative researchers, extensive great TS models are presented, which advance this community significantly. If you want to add your model to TSlib, here are some instructions:
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- Propose an issue to describe your model and give a link to your paper and official code. We will discuss whether your model is suitable for this library, such as [this issue](https://github.com/thuml/Time-Series-Library/issues/346).
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- Propose a pull request in a similar style as TSlib, which means adding an additional file to ./models and providing corresponding scripts for reproduction, such as [this pull request](https://github.com/thuml/Time-Series-Library/pull/446).
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Note: Given that there are a lot of TS models that have been proposed, we may not have enough time to judge which model can be a remarkable supplement to the current library. Thus, we decide ONLY to add the officially published paper to our library. Peer review can be a reliable criterion.
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Thanks again for your valuable contributions.
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