# qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM

<https://repo.masters-masters.com/en/repos/qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM>

[Home](https://repo.masters-masters.com/en) › [qingsongedu](https://repo.masters-masters.com/en/owners/qingsongedu) › [Awesome-TimeSeries-SpatioTemporal-LM-LLM](https://repo.masters-masters.com/en/repos/qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM)

qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM has 1,238 stars on GitHub. Its RepoMasters card: Beta tier. A professional list on Large (Language)…

| Field | Value |
| --- | --- |
| Owner | [qingsongedu](https://repo.masters-masters.com/en/owners/qingsongedu) |
| Stars | 1,238 |
| Forks | 94 |
| Language | No language |
| License | None |
| Created | 2023 |
| Topics | anomalydetection, autoscaling, deeplearning, forecasting, foundation-models, large-language-models, large-models, machinelearning, pre-training, rca |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM](https://github.com/qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM) |

## Repository

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.