AT
thuml/Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
1.0k 270 +0/wk
GitHub
anomaly-detection deep-learning time-series
Trend
3
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
thuml/Anomaly-Transformer has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | Anomaly-Transformer | gdrl | awesome-llm-role-playing-with-persona | kogpt |
|---|---|---|---|---|
| Stars | 1.0k | 1.0k | 1.0k | 1.0k |
| Forks | 270 | 276 | 52 | 138 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | BSD-3-Clause | N/A | NOASSERTION |
Capability Radar vs gdrl
Anomaly-Transformer
gdrl
Maintenance Activity 0
Last code push 832 days ago.
Community Engagement 100
Fork-to-star ratio: 26.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
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.