AL
murufeng/awesome_lightweight_networks
The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐
912 163 +1/wk
GitHub
awesome-list deep-learning mobile-networks mobilenet
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
murufeng/awesome_lightweight_networks has +1 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | awesome_lightweight_networks | Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera | awesome-CARLA | proteinnet |
|---|---|---|---|---|
| Stars | 912 | 912 | 911 | 913 |
| Forks | 163 | 404 | 127 | 138 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | CC0-1.0 | MIT |
Capability Radar vs Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
awesome_lightweight_networks
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
Maintenance Activity 0
Last code push 1423 days ago.
Community Engagement 89
Fork-to-star ratio: 17.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 47
+1 stars this period — 0.11% growth rate.
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.