qingsongedu/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.
This list compiles research on using Large Language Models (LLMs) and Foundation Models for analyzing various types of temporal data, including time series, spatio-temporal, and event data. It provides a curated collection of papers, code, and datasets, acting as a resource for staying updated on advanced techniques. Researchers and data scientists working with complex real-world temporal datasets will find this useful for their modeling and prediction tasks.
1,203 stars. No commits in the last 6 months.
Use this if you are a researcher or data scientist exploring how cutting-edge large language models can be applied to forecast, analyze, or understand patterns in time-series data, spatio-temporal data, or event streams.
Not ideal if you are looking for an out-of-the-box software tool to directly apply to your data without delving into academic papers and research code.
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Dec 22, 2024
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