qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM resource
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data. observed · 2026-08-28
Health v2 · maintenance only
29/100
- Activity 0
- Release rhythm 35
- Longevity 84
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1181
- days_rel: n/a
- days_push: 619
- n_releases_24m: 0
Adoption not part of the score
1222 stars · 91 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated awesome-list of papers, code, and datasets on Large Language Models and Foundation Models applied to time series, spatio-temporal, and event data. It accompanies a survey paper and is actively updated with new research resources.
Use cases
- find papers on LLMs for time series forecasting
- survey foundation models for spatio-temporal data
- research time series anomaly detection with large models
- find datasets for multimodal time series analysis
- keep up with LLM4TS research
- prepare a literature review on time series foundation models
When to choose
- you need a comprehensive, curated reading list on LLMs/foundation models for temporal data
- you are a researcher or student surveying this fast-moving field
- you want links to official code and datasets for cited papers
When to avoid
- you need a runnable library or tool rather than a paper list
- you want production-ready forecasting code
- you need non-temporal LLM resources
Facets
learning-resource · maturity active
machine-learning llm-inference data-science time-series large-language-models artificial-intelligence tutorials awesome-lists cross-platform awesome-list time-series-forecasting foundation-models spatiotemporal research-papers survey
1 source
- readme: https://github.com/qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM · fetched 2026-08-28 · 05e9a02a165e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM | main | 29 |
For agents
markdown · JSON · MCP: product_card(name="qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem