G.
wpeebles/G.pt
Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"
345 24 +0/wk
GitHub
deep-learning diffusion-models pytorch transformers
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
wpeebles/G.pt has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | G.pt | RL-Theory-book | Build-a-Large-Language-Model-from-Scratch | DocDiff |
|---|---|---|---|---|
| Stars | 345 | 345 | 345 | 343 |
| Forks | 24 | 21 | 84 | 32 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Python | TeX | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-2-Clause | N/A | N/A | MIT |
Capability Radar vs RL-Theory-book
G.pt
RL-Theory-book
Maintenance Activity 0
Last code push 1284 days ago.
Community Engagement 35
Fork-to-star ratio: 7.0%. 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 BSD-2-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.