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vnk8071/anomaly-detection-in-industry-manufacturing
Pipeline training and inference Anomalib models UI in Anomaly Detection
103 15 +0/wk
GitHub
anomalib anomaly-detection aws-ec2 cflow deep-learning dfkde draem fastflow ganomaly padim patchcore pytorch
Trend
0
Star & Fork Trend (9 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
vnk8071/anomaly-detection-in-industry-manufacturing has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | anomaly-detection-in-industry-manufacturing | get_model | suspicious_login | PyTorchSim |
|---|---|---|---|---|
| Stars | 103 | 103 | 103 | 102 |
| Forks | 15 | 27 | 31 | 17 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | PHP | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | AGPL-3.0 | MIT |
Capability Radar vs get_model
anomaly-detection-in-industry-manufacturing
get_model
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 73
Fork-to-star ratio: 14.6%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.