SP
thu-ml/SpargeAttn
[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
973 91 +0/wk
GitHub
ai-infra attention inference-acceleration llm mlsys quantization sageattention sparse-attention video-generation vision-transformer vit
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
thu-ml/SpargeAttn has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | SpargeAttn | awesome-devops-mcp-servers | keras-hub | AIAS |
|---|---|---|---|---|
| Stars | 973 | 973 | 972 | 972 |
| Forks | 91 | 231 | 331 | 291 |
| Weekly Growth | +0 | +1 | +0 | +1 |
| Language | Cuda | N/A | Python | Java |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs awesome-devops-mcp-servers
SpargeAttn
awesome-devops-mcp-servers
Maintenance Activity 79
Last code push 43 days ago.
Community Engagement 47
Fork-to-star ratio: 9.4%. 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.