PI
MaximeVandegar/Papers-in-100-Lines-of-Code
Implementation of papers in 100 lines of code.
2.7k 244 +5/wk
GitHub
3d aes artificial-intelligence deep-learning diffusion-models educational gans generative-model implementation-of-research-paper inverse-rendering machine-learning meta-learning
Trend
3
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
MaximeVandegar/Papers-in-100-Lines-of-Code has +5 stars this period . 7-day velocity: 0.3%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Papers-in-100-Lines-of-Code | pai | datasets | InvoiceNet |
|---|---|---|---|---|
| Stars | 2.7k | 2.7k | 2.7k | 2.7k |
| Forks | 244 | 548 | 135 | 413 |
| Weekly Growth | +5 | +0 | +1 | -1 |
| Language | Python | JavaScript | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | N/A | MIT |
Capability Radar vs pai
Papers-in-100-Lines-of-Code
pai
Maintenance Activity 95
Last code push 15 days ago.
Community Engagement 45
Fork-to-star ratio: 9.1%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 51
+5 stars this period — 0.19% growth rate.
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.