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Stars gained: From May 18, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 18, 2026 to Nov 14, 2026, each from zero050100May 18Nov 14, 2026qingsongedu/awesome-AI-for-time-series-papersWenjieDu/PyPOTS
Stars: The star count at the end of each dayStarsThe star count at the end of each day1.6K1.8K2KMay 8Nov 14, 2026qingsongedu/awesome-AI-for-time-series-papersWenjieDu/PyPOTS

Facts

Fact qingsongedu/awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

WenjieDu/PyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

Stars 1,6362,097
Net stars, last 30 days +4+20
Largest star day +2 on May 22, 2026+4 on Sep 29, 2026
Milestone reached in the record NoneNone
Forks 145194
Language Not reportedPython
License MITBSD-3-CLAUSE
Created Jun 3, 2022Mar 29, 2022
Last push Apr 6, 2024Nov 9, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)1 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 12, 2026

Topics that all of them have on the Repository Host: classification, forecasting, data-mining, deep-learning, machine-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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