BY
bytedance/ByteTransformer
optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
479 37 +0/wk
GitHub
bert gpu inference research transformer
Trend
0
Star & Fork Trend (24 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
bytedance/ByteTransformer has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | ByteTransformer | effective_transformer | agency | ParScale |
|---|---|---|---|---|
| Stars | 479 | 479 | 479 | 478 |
| Forks | 37 | 53 | 25 | 25 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | C++ | C++ | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | N/A |
Capability Radar vs effective_transformer
ByteTransformer
effective_transformer
Maintenance Activity 0
Last code push 755 days ago.
Community Engagement 39
Fork-to-star ratio: 7.7%. 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.