From 01810ee62e08a9aa877b4264ea524f678391a6d7 Mon Sep 17 00:00:00 2001
From: Qingsong Wen <2541438+qingsongedu@users.noreply.github.com>
Date: Sun, 28 Jan 2024 22:47:17 -0800
Subject: [PATCH] Update README.md

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 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

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@@ -102,6 +102,7 @@ Please refer to ```run_main.py``` and ```run_m4.py``` for the detailed descripti
 
 ## Further Reading
 [**Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook**](https://arxiv.org/abs/2310.10196)  
+[\[GitHub Repo\]](https://github.com/qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM)
 
 **Authors**: Ming Jin, Qingsong Wen*, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li (IEEE Fellow), Shirui Pan*, Vincent S. Tseng (IEEE Fellow), Yu Zheng (IEEE Fellow), Lei Chen (IEEE Fellow), Hui Xiong (IEEE Fellow)
 
@@ -117,4 +118,4 @@ Please refer to ```run_main.py``` and ```run_m4.py``` for the detailed descripti
 ```
 
 ## Acknowledgement
-Our implementation adapts [Time-Series-Library](https://github.com/thuml/Time-Series-Library) and [GPT4TS](https://github.com/DAMO-DI-ML/NeurIPS2023-One-Fits-All) as the code base and have extensively modified it to our purposes. We thank the authors for sharing their implementations and related resources.
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+Our implementation adapts [Time-Series-Library](https://github.com/thuml/Time-Series-Library) and [GPT4TS](https://github.com/DAMO-DI-ML/NeurIPS2023-One-Fits-All) as the code base and have extensively modified it to our purposes. We thank the authors for sharing their implementations and related resources.