Shypd.aiThe largest open index of AI toolsawesome-llm-time-series is an Open Source resource that tracks papers, datasets, and models related to large language models (LLMs) for time series analysis. It provides a comprehensive overview of the field, including a taxonomy of LLM approaches.
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awesome-llm-time-series is a curated GitHub repository dedicated to tracking the latest advancements in applying large language models (LLMs) to time series analysis. It compiles papers, datasets, and models, offering a valuable resource for researchers and practitioners. The repository features a detailed taxonomy that categorizes LLM-driven NLP pipelines for time series into five stages: Prompting, Time Series Quantization, Aligning, Vision as Bridge, and Tool Integration. Each category is illustrated with representative works, sorted by publication date, and indicates how later studies build upon earlier ones. This resource is ideal for understanding the landscape of LLM applications in time series, from forecasting and classification to anomaly detection and generation across various domains like finance, health, and mobility.
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