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Awesome-TimeSeries-SpatioTemporal-LM-LLM
anomalydetection

Awesome-TimeSeries-SpatioTemporal-LM-LLM

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

by qingsongedu · GitHub
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anomalydetectionautoscalingdeeplearning
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In plain words

Explore a curated list of resources for using large language models with time-related data.

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2026-07-202026-08-31
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📄 About

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

Awesome-TimeSeries-SpatioTemporal-LM-LLM has 1.2k stars on GitHub. It has been forked 91 times. It has been in active development since 2023. Its main topics are anomalydetection, autoscaling, deeplearning, forecasting.

Frequently asked questions

What is Awesome-TimeSeries-SpatioTemporal-LM-LLM?

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

Is Awesome-TimeSeries-SpatioTemporal-LM-LLM open source?

Awesome-TimeSeries-SpatioTemporal-LM-LLM is an open-source project.

Is Awesome-TimeSeries-SpatioTemporal-LM-LLM free?

Yes. Awesome-TimeSeries-SpatioTemporal-LM-LLM is free and open source — you can use, modify and self-host it.

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