CU
zhihu/cuBERT
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
548 84 +0/wk
GitHub
bert cuda deep-learning inference mkl predict tensorflow transformer
Trend
0
Star & Fork Trend (34 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
zhihu/cuBERT has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | cuBERT | train-llm-from-scratch | paxml | caiss |
|---|---|---|---|---|
| Stars | 548 | 548 | 549 | 549 |
| Forks | 84 | 110 | 70 | 66 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | C++ | Jupyter Notebook | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | N/A |
Capability Radar vs train-llm-from-scratch
cuBERT
train-llm-from-scratch
Maintenance Activity 0
Last code push 1968 days ago.
Community Engagement 77
Fork-to-star ratio: 15.3%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.