mihirp1998/AlignProp
AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods (PPO) for finetuning Stable Diffusion
Star & Fork Trend (18 data points)
Multi-Source Signals
Growth Velocity
mihirp1998/AlignProp has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | AlignProp | claude-code-toolkit | VADER | hud-python |
|---|---|---|---|---|
| Stars | 314 | 315 | 312 | 312 |
| Forks | 11 | 30 | 15 | 54 |
| Weekly Growth | +0 | +2 | +0 | -7 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | N/A | MIT |
Capability Radar vs claude-code-toolkit
Last code push 524 days ago.
Fork-to-star ratio: 3.5%. Lower fork ratio may indicate passive usage.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.