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Guang000/Awesome-Dataset-Distillation
A curated list of awesome papers on dataset distillation and related applications.
1.9k 173 +0/wk
GitHub
awesome-list deep-learning
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| Metric | Awesome-Dataset-Distillation | opacus | tf_unet | papers_for_protein_design_using_DL |
|---|---|---|---|---|
| Stars | 1.9k | 1.9k | 1.9k | 1.9k |
| Forks | 173 | 391 | 739 | 216 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | HTML | Jupyter Notebook | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | GPL-3.0 | GPL-3.0 |
Capability Radar vs opacus
Awesome-Dataset-Distillation
opacus
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 45
Fork-to-star ratio: 9.0%. Lower fork ratio may indicate passive usage.
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.