ET
bytedance/effective_transformer
Running BERT without Padding
479 53 +0/wk
GitHub
bert inference machine-learning tensorflow transformer
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
bytedance/effective_transformer 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 | effective_transformer | qtrader | agency | ByteTransformer |
|---|---|---|---|---|
| Stars | 479 | 479 | 479 | 479 |
| Forks | 53 | 169 | 25 | 37 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | C++ | Jupyter Notebook | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs qtrader
effective_transformer
qtrader
Maintenance Activity 0
Last code push 1482 days ago.
Community Engagement 55
Fork-to-star ratio: 11.1%. 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.