D3
yk7333/d3po
[CVPR 2024] Code for the paper "Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model"
243 18 +0/wk
GitHub
diffusion-models human-feedback reinforcement-learning
Trend
0
Star & Fork Trend (17 data points)
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Growth Velocity
yk7333/d3po has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | d3po | IkomiaApi | Ori-Mnemos | hume-api-examples |
|---|---|---|---|---|
| Stars | 243 | 243 | 243 | 243 |
| Forks | 18 | 13 | 18 | 121 |
| Weekly Growth | +0 | +1 | +1 | +0 |
| Language | Python | Python | TypeScript | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | MIT |
Capability Radar vs IkomiaApi
d3po
IkomiaApi
Maintenance Activity 0
Last code push 732 days ago.
Community Engagement 37
Fork-to-star ratio: 7.4%. 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.