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WenjieDu / Awesome_Imputation

Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
BSD 3-Clause "New" or "Revised" License
164 stars 18 forks source link

请问可以提供一下具体数据集吗 #1

Closed HANSZJH closed 3 months ago

HANSZJH commented 3 months ago

谢谢

WenjieDu commented 3 months ago

Hi there 👋,

Thank you so much for your attention to PyPOTS! You can follow me on GitHub to receive the latest news of PyPOTS. If you find our research is helpful to your work, please star⭐️ this repository. Your star is your recognition, which can help more people notice PyPOTS and grow PyPOTS community. It matters and is definitely a kind of contribution to the community.

I have received your message and will respond ASAP. Thank you for your patience! 😃

Best, Wenjie

Justin0388 commented 3 months ago

实验中用到的几个都是公开的数据集，可以利用PyPOTS中的TSDB库进行下载

HANSZJH commented 3 months ago

感谢

WenjieDu commented 3 months ago

@HANSZJH 如 @Justin0388 描述的那样，这个repo中的代码都是基于PyPOTS ecosystem https://github.com/WenjieDu/PyPOTS 编写的，数据的下载使用的是TSDB，使用方法与预处理请看data_processing文件夹下的py脚本 https://github.com/WenjieDu/Awesome_Imputation/blob/main/time_series_imputation_survey_code/data_processing

可以关注一下PyPOTS开源社区

HANSZJH commented 3 months ago

感谢，很好的文章和代码实验