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lucidrains/conformer
Implementation of the convolutional module from the Conformer paper, for use in Transformers
433 54 +0/wk
GitHub
artificial-intelligence audio deep-learning transformer
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| Metric | conformer | mct-model-optimization | nn_playground | emotion-classification-from-audio-files |
|---|---|---|---|---|
| Stars | 433 | 433 | 433 | 433 |
| Forks | 54 | 79 | 147 | 141 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | GPL-3.0 |
Capability Radar vs mct-model-optimization
conformer
mct-model-optimization
Maintenance Activity 0
Last code push 1057 days ago.
Community Engagement 62
Fork-to-star ratio: 12.5%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.