qingsongedu/time-series-transformers-review resource

Health v2 · maintenance only

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3002 stars · 270 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list repository collecting papers, code, and datasets on Transformers applied to time series, accompanying the IJCAI'23 survey 'Transformers in Time Series: A Survey'. It organizes resources by taxonomy and application domains such as forecasting, anomaly detection, and classification.

Use cases

• find papers on transformers for time series forecasting
• survey transformer models for anomaly detection in time series
• locate official code implementations of time series transformer models
• get started with deep learning research on time series
• find datasets for time series transformer benchmarks
• cite a comprehensive survey of transformers in time series

When to choose

• you need a curated reading list of time series transformer research
• you are writing a literature review on transformer-based forecasting or anomaly detection
• you want links to official code for recent time series transformer papers

When to avoid

• you need a runnable library or framework rather than a resource list
• you need non-transformer time series models
• you need maintained, tested software for production forecasting

Facets

learning-resource · maturity active

documentation machine-learning deep-learning time-series deep-learning machine-learning tutorials awesome-lists cross-platform awesome-list survey transformers forecasting anomaly-detection time-series-classification papers curated-resources

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markdown · JSON · MCP: product_card(name="qingsongedu/time-series-transformers-review")