mihirp1998/VADER
Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics etc.
Star & Fork Trend (18 data points)
Multi-Source Signals
Growth Velocity
mihirp1998/VADER 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 | VADER | hud-python | tiledesk-dashboard | AlignProp |
|---|---|---|---|---|
| Stars | 312 | 312 | 311 | 314 |
| Forks | 15 | 54 | 131 | 11 |
| Weekly Growth | +0 | -7 | +0 | +0 |
| Language | Python | Python | TypeScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | MIT |
Capability Radar vs hud-python
Last code push 393 days ago.
Fork-to-star ratio: 4.8%. Lower fork ratio may indicate passive usage.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.