LC
feifeibear/long-context-attention
USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
660 79 +0/wk
GitHub
attention-is-all-you-need deepspeed-ulysses llm-inference llm-training pytorch ring-attention
Trend
0
Star & Fork Trend (33 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
feifeibear/long-context-attention 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 | long-context-attention | agbcloud-sdk | Awesome-Korean-NLP | JamSpell |
|---|---|---|---|---|
| Stars | 660 | 660 | 660 | 660 |
| Forks | 79 | 50 | 116 | 111 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Python | Python | N/A | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | N/A | MIT |
Capability Radar vs agbcloud-sdk
long-context-attention
agbcloud-sdk
Maintenance Activity 56
Last code push 84 days ago.
Community Engagement 60
Fork-to-star ratio: 12.0%. 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.