MO
raymin0223/mixture_of_recursions
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation (NeurIPS 2025)
558 81 +0/wk
GitHub
adaptive-computation early-exiting kv-cache llm recursive-transformers router
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
raymin0223/mixture_of_recursions has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | mixture_of_recursions | llm_training_handbook | bugbug | Flame-Code-VLM |
|---|---|---|---|---|
| Stars | 558 | 557 | 559 | 557 |
| Forks | 81 | 44 | 329 | 48 |
| Weekly Growth | +0 | +0 | +0 | -1 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | CC-BY-SA-4.0 | MPL-2.0 | Apache-2.0 |
Capability Radar vs llm_training_handbook
mixture_of_recursions
llm_training_handbook
Maintenance Activity 0
Last code push 195 days ago.
Community Engagement 73
Fork-to-star ratio: 14.5%. Active community forking and contributing.
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.