RF
lucidrains/rectified-flow-pytorch
Implementation of rectified flow and some of its followup research / improvements in Pytorch
432 30 +0/wk
GitHub
artificial-intelligence deep-learning flow-matching rectified-flow
Trend
3
Star & Fork Trend (24 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/rectified-flow-pytorch has +0 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | rectified-flow-pytorch | nn_playground | mct-model-optimization | emotion-classification-from-audio-files |
|---|---|---|---|---|
| Stars | 432 | 433 | 433 | 433 |
| Forks | 30 | 147 | 79 | 141 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | GPL-3.0 |
Capability Radar vs nn_playground
rectified-flow-pytorch
nn_playground
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 35
Fork-to-star ratio: 6.9%. 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.