OP
meta-pytorch/opacus
Training PyTorch models with differential privacy
1.9k 391 +0/wk
GitHub
deep-learning differential-privacy machine-learning neural-network privacy-preserving-machine-learning pytorch
Trend
3
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
meta-pytorch/opacus has +0 stars this period . 7-day velocity: 0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | opacus | Awesome-Dataset-Distillation | tf_unet | papers_for_protein_design_using_DL |
|---|---|---|---|---|
| Stars | 1.9k | 1.9k | 1.9k | 1.9k |
| Forks | 391 | 173 | 739 | 216 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | HTML | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | GPL-3.0 | GPL-3.0 |
Capability Radar vs Awesome-Dataset-Distillation
opacus
Awesome-Dataset-Distillation
Maintenance Activity 96
Last code push 13 days ago.
Community Engagement 100
Fork-to-star ratio: 20.4%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.