qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM

• highreadme#1

  Explicitly state this is an 'Awesome List' in the README's opening

  Why:

  CURRENT

  A professionally curated list of **Large (Language) Models and Foundation Models (LLM, LM, FM) for Temporal Data (Time Series, Spatio-temporal, and Event Data)** with awesome resources (paper, code, data, etc.), which aims to comprehensively and systematically summarize the recent advances to the best of our knowledge.

  COPY-PASTE FIX

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  This is an **Awesome List** — a professionally curated collection of **Large (Language) Models and Foundation Models (LLM, LM, FM) for Temporal Data (Time Series, Spatio-temporal, and Event Data)** with awesome resources (paper, code, data, etc.), which aims to comprehensively and systematically summarize the recent advances to the best of our knowledge.

  OpenDoneDismiss
• highlicense#2

  Add a LICENSE file to the repository

  Why:

  COPY-PASTE FIX

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  Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, or CC-BY-4.0 for content lists) to clarify usage terms.

  OpenDoneDismiss
• mediumhomepage#3

  Add a homepage URL to the repository settings

  Why:

  COPY-PASTE FIX

  Copy

  Add a relevant URL (e.g., the associated survey paper's page, a project website, or the main author's profile) to the 'Homepage' field in the repository settings.

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  Where can I find research papers and code for large language models on time series data?

  you: not recommended
  AI recommended (in order):

  1. arXiv.org
  2. Papers With Code
  3. GitHub
  4. Google Scholar
  5. Kaggle
  6. Hugging Face

  AI recommended 6 alternatives but never named qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What foundation models are effective for spatiotemporal forecasting and anomaly detection tasks?

  you: not recommended
  AI recommended (in order):

  1. DCRNN
  2. STGCN
  3. ASTGCN
  4. Spatio-Temporal Transformer
  5. ST-Transformer
  6. ConvLSTMs
  7. ConvGRUs
  8. AnoGAN
  9. Deep SVDD
  10. OmniAnomaly
  11. Neural ODEs
  12. Variational Autoencoders (VAEs)
  13. Spatiotemporal VAEs

  AI recommended 13 alternatives but never named qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM?

  pass
  ⚠AI did not name qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM solve, and who is the primary audience?

  pass
  ⚠AI did not name qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?