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MingSun-Tse/Efficient-Deep-Learning
Collection of recent methods on (deep) neural network compression and acceleration.
955 132 +0/wk
GitHub
deep-learning deep-neural-networks efficient-deep-learning knowledge-distillation model-compression network-pruning
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0
Star & Fork Trend (21 data points)
Stars
Forks
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Growth Velocity
MingSun-Tse/Efficient-Deep-Learning has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Efficient-Deep-Learning | papers-I-read | Blog | nolearn |
|---|---|---|---|---|
| Stars | 955 | 956 | 954 | 954 |
| Forks | 132 | 80 | 261 | 258 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | HTML | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | N/A | MIT |
Capability Radar vs papers-I-read
Efficient-Deep-Learning
papers-I-read
Maintenance Activity 0
Last code push 370 days ago.
Community Engagement 69
Fork-to-star ratio: 13.8%. 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.