diff --git a/.github/workflows/testing_ci.yml b/.github/workflows/testing_ci.yml index 43496169..f35211ca 100644 --- a/.github/workflows/testing_ci.yml +++ b/.github/workflows/testing_ci.yml @@ -84,6 +84,7 @@ jobs: - name: Submit the report uses: coverallsapp/github-action@master + continue-on-error: true with: github-token: ${{ secrets.GITHUB_TOKEN }} path-to-lcov: "coverage.lcov" diff --git a/.github/workflows/testing_daily.yml b/.github/workflows/testing_daily.yml index b71b74ed..707e76a3 100644 --- a/.github/workflows/testing_daily.yml +++ b/.github/workflows/testing_daily.yml @@ -62,6 +62,7 @@ jobs: - name: Submit the report uses: coverallsapp/github-action@master + continue-on-error: true with: github-token: ${{ secrets.GITHUB_TOKEN }} path-to-lcov: 'coverage.lcov' diff --git a/README.md b/README.md index de0880ae..fb77cedd 100644 --- a/README.md +++ b/README.md @@ -58,6 +58,9 @@ README in English + + PyPOTS Hits +

⦿ `Motivation`: Due to all kinds of reasons like failure of collection sensors, communication error, @@ -391,11 +394,3 @@ PyPOTS community is open, transparent, and surely friendly. Let's work together [^35]: Bai, S., Kolter, J. Z., & Koltun, V. (2018). [An empirical evaluation of generic convolutional and recurrent networks for sequence modeling](https://arxiv.org/abs/1803.01271). *arXiv 2018*. [^36]: Project Gungnir, the world 1st LLM for time-series multitask modeling, will meet you soon. 🚀 Missing values and variable lengths in your datasets? Hard to perform multitask learning with your time series? Not problems no longer. We'll open application for public beta test recently ;-) Follow us, and stay tuned! - -
-🏠 Visits - - PyPOTS visits - -
-
diff --git a/README_zh.md b/README_zh.md index 9553c771..b04dd28d 100644 --- a/README_zh.md +++ b/README_zh.md @@ -58,6 +58,9 @@ README in Chinese + + PyPOTS Hits +

⦿ `开发背景`: 由于传感器故障、通信异常以及不可预见的未知原因，在现实环境中收集的时间序列数据普遍存在缺失值， @@ -360,11 +363,3 @@ PyPOTS社区是一个开放、透明、友好的社区，让我们共同努力 [^34]: Nie, T., Qin, G., Mei, Y., & Sun, J. (2024). [ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation](https://arxiv.org/abs/2312.01728). *KDD 2024*. [^35]: Bai, S., Kolter, J. Z., & Koltun, V. (2018). [An empirical evaluation of generic convolutional and recurrent networks for sequence modeling](https://arxiv.org/abs/1803.01271). *arXiv 2018*. [^36]: Gungnir项目，世界上第一个时间序列多任务大模型，将很快与大家见面。🚀 数据集存在缺少值且样本长短不一？多任务建模场景困难？都不再是问题，让我们的大模型来帮你解决。我们将在近期开放公测申请 ;-) 关注我们，敬请期待! - -
-🏠 访问量 - - PyPOTS访问量 - -
-
diff --git a/docs/index.rst b/docs/index.rst index af28f8f8..d6c76d57 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -80,8 +80,8 @@ Welcome to PyPOTS docs! :alt: README in English :target: https://github.com/WenjieDu/PyPOTS/blob/main/README.md -.. image:: https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FPyPOTS%2FPyPOTS&count_bg=%23009A0A&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=Visits%20since%20May%202022&edge_flat=false - :alt: Visiting number +.. image:: https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FPyPOTS%2FPyPOTS&count_bg=%23009A0A&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=Hits&edge_flat=false + :alt: Hits number ----------------- @@ -101,12 +101,12 @@ if it helps with your research. This really means a lot to our open-source resea The rest of this readme file is organized as follows: `❖ Available Algorithms <#id1>`_, -`❖ PyPOTS Ecosystem <#id22>`_, -`❖ Installation <#id24>`_, -`❖ Usage <#id26>`_, -`❖ Citing PyPOTS <#id28>`_, -`❖ Contribution <#id29>`_, -`❖ Community <#id30>`_. +`❖ PyPOTS Ecosystem <#id37>`_, +`❖ Installation <#id39>`_, +`❖ Usage <#id41>`_, +`❖ Citing PyPOTS <#id43>`_, +`❖ Contribution <#id44>`_, +`❖ Community <#id45>`_. ❖ Available Algorithms @@ -212,7 +212,7 @@ The paper references are all listed at the bottom of this readme file. 💯 Contribute your model right now to increase your research impact! PyPOTS downloads are increasing rapidly (`300K+ in total and 1K+ daily on PyPI so far `_), and your work will be widely used and cited by the community. -Refer to the `contribution guide `_ to see how to include your model in PyPOTS. +Refer to the `contribution guide <#id44>`_ to see how to include your model in PyPOTS. ❖ PyPOTS Ecosystem ^^^^^^^^^^^^^^^^^^^ diff --git a/docs/milestones.rst b/docs/milestones.rst index 6ec896dd..a3fd2af0 100644 --- a/docs/milestones.rst +++ b/docs/milestones.rst @@ -49,4 +49,5 @@ Project Milestones - 2023-12: PyPOTS achieves its first 500 stars 🌟; - 2024-02: PyPOTS Research releases its imputation survey paper `Deep Learning for Multivariate Time Series Imputation: A Survey `_; - 2024-06: PyPOTS Research releases the 1st comprehensive time-series imputation benchmark paper `TSI-Bench: Benchmarking Time Series Imputation `_; -- 2024-08: PyPOTS Research presents the keynote "Learning from Partially Observed Time Series: Towards Reality-Centric AI4TS" `IJCAI'24 AI4TS workshop `_; +- 2024-07: PyPOTS achieves its first 300,000 downloads in total; +- 2024-08: We present the keynote "Learning from Partially Observed Time Series: Towards Reality-Centric AI4TS" `IJCAI'24 AI4TS workshop `_;