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moonshine-ai/useful-transformers
Efficient Inference of Transformer models
490 44 +0/wk
GitHub
cpp neural-networks npu openai-whisper rockchip transformer-models
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Star & Fork Trend (19 data points)
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| Metric | useful-transformers | audio-transformers-course | CS231n | deer |
|---|---|---|---|---|
| Stars | 490 | 490 | 490 | 489 |
| Forks | 44 | 151 | 185 | 119 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | C++ | MDX | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | GPL-3.0 | Apache-2.0 | N/A | NOASSERTION |
Capability Radar vs audio-transformers-course
useful-transformers
audio-transformers-course
Maintenance Activity 0
Last code push 610 days ago.
Community Engagement 45
Fork-to-star ratio: 9.0%. 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 70
Licensed under GPL-3.0. Copyleft — check compatibility requirements.
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