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qingsongedu/time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

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anomalydetection awesome classification deep-learning forecasting machine-learning review survey time-series time-series-forecasting timeseries timeseries-analysis
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Metric time-series-transformers-review mAP pytorch_geometric_temporal pythoncode-tutorials
Stars 3.0k 3.0k3.0k3.0k
Forks 269 9194032.0k
Weekly Growth +0 +0+0+0
Language N/A PythonPythonJupyter Notebook
Sources 1 111
License MIT Apache-2.0MITMIT

Capability Radar vs mAP

time-series-transformers-review
mAP
Maintenance Activity 0

Last code push 608 days ago.

Community Engagement 45

Fork-to-star ratio: 9.0%. Lower fork ratio may indicate passive usage.

Issue Burden 70

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Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.