A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
Explore a curated list of resources for using large language models with time-related data.
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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.
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 is an open-source project.
Yes. Awesome-TimeSeries-SpatioTemporal-LM-LLM is free and open source — you can use, modify and self-host it.
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