RP
seal-rg/recurrent-pretraining
Pretraining and inference code for a large-scale depth-recurrent language model
870 78 +0/wk
GitHub
llms pretraining reasoning recurrent-depth
Trend
0
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
seal-rg/recurrent-pretraining 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 | recurrent-pretraining | asreview | pypostal | LLM-Finetuning-Toolkit |
|---|---|---|---|---|
| Stars | 870 | 870 | 870 | 870 |
| Forks | 78 | 159 | 92 | 105 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | C | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs asreview
recurrent-pretraining
asreview
Maintenance Activity 46
Last code push 101 days ago.
Community Engagement 45
Fork-to-star ratio: 9.0%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.