TG
HaozheLiu-ST/T-GATE
T-GATE: Temporally Gating Attention to Accelerate Diffusion Model for Free!
417 24 +0/wk
GitHub
cross-attention cross-attention-diffusers diffusers diffusion efficiency inference pytorch text2image training-free transformer
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
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Growth Velocity
HaozheLiu-ST/T-GATE 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 | T-GATE | EdgeChains | worker-vllm | voice-chat-ai |
|---|---|---|---|---|
| Stars | 417 | 417 | 417 | 416 |
| Forks | 24 | 93 | 316 | 102 |
| Weekly Growth | +0 | -1 | +0 | +0 |
| Language | Python | JavaScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | AGPL-3.0 | MIT | MIT |
Capability Radar vs EdgeChains
T-GATE
EdgeChains
Maintenance Activity 0
Last code push 407 days ago.
Community Engagement 29
Fork-to-star ratio: 5.8%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.