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lukasruff/Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
778 210 +0/wk
GitHub
anomaly-detection deep-anomaly-detection deep-learning icml-2018 machine-learning one-class-learning python pytorch
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Star & Fork Trend (17 data points)
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lukasruff/Deep-SVDD-PyTorch has +0 stars this period . 7-day velocity: -0.1%.
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| Metric | Deep-SVDD-PyTorch | neurodiffeq | text2art | wtte-rnn |
|---|---|---|---|---|
| Stars | 778 | 778 | 778 | 778 |
| Forks | 210 | 102 | 196 | 189 |
| Weekly Growth | +0 | +0 | +0 | -2 |
| Language | Python | Python | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | NOASSERTION | MIT |
Capability Radar vs neurodiffeq
Deep-SVDD-PyTorch
neurodiffeq
Maintenance Activity 0
Last code push 1218 days ago.
Community Engagement 100
Fork-to-star ratio: 27.0%. 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.