update contributors

.all-contributorsrc

@@ -0,0 +1,15 @@
+{
+  "projectName": "BasicTS",
+  "projectOwner": "zezhishao",
+  "repoType": "github",
+  "repoHost": "https://github.com/zezhishao/BasicTS",
+  "files": [
+    "README.md"
+  ],
+  "imageSize": 100,
+  "commit": true,
+  "commitConvention": "angular",
+  "contributors": [],
+  "contributorsPerLine": 7,
+  "linkToUsage": true
+}

README.md

@@ -175,15 +175,6 @@ BasicTS is built on PyTorch 1.9.1 or 1.10.0, while other versions have not been
 
   [Example: Multi-Layer Perceptron (MLP)](baselines/MLP)
 
-
-## ❤️ Contributors
-
-Thanks to all contributors!
-
-<a href="https://github.com/zezhishao/BasicTS/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=zezhishao/BasicTS" />
-</a>
-
 ## 📉 Main Results
 
 See the paper *[Exploring Progress in Multivariate Time Series Forecasting:
@@ -192,3 +183,18 @@ Comprehensive Benchmarking and Heterogeneity Analysis](https://arxiv.org/pdf/231
 ## 🔗 Acknowledgement
 
 BasicTS is developed based on [EasyTorch](https://github.com/cnstark/easytorch), an easy-to-use and powerful open-source neural network training framework.
+
+## Contributors ✨
+
+Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
+
+<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
+<!-- prettier-ignore-start -->
+<!-- markdownlint-disable -->
+
+<!-- markdownlint-restore -->
+<!-- prettier-ignore-end -->
+
+<!-- ALL-CONTRIBUTORS-LIST:END -->
+
+This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!