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

<https://repo.masters-masters.com/en/repos/qingsongedu/awesome-AI-for-time-series-papers>

[Home](https://repo.masters-masters.com/en) › [qingsongedu](https://repo.masters-masters.com/en/owners/qingsongedu) › [awesome-AI-for-time-series-papers](https://repo.masters-masters.com/en/repos/qingsongedu/awesome-AI-for-time-series-papers)

qingsongedu/awesome-AI-for-time-series-papers has 1,635 stars on GitHub. Its RepoMasters card: Beta tier. A professional list of Papers, Tutorials, and…

| Field | Value |
| --- | --- |
| Owner | [qingsongedu](https://repo.masters-masters.com/en/owners/qingsongedu) |
| Stars | 1,635 |
| Forks | 145 |
| Language | No language |
| License | MIT |
| Created | 2022 |
| Topics | timeseries, timeseries-analysis, timeseries-forecasting, timeseries-prediction, timeseriesclassification, anomalydetection, changepoint-detection, classification, forecasting, missing-data |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [qingsongedu/awesome-AI-for-time-series-papers](https://github.com/qingsongedu/awesome-AI-for-time-series-papers) |

## Repository

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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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