HA
aqibsaeed/Human-Activity-Recognition-using-CNN
Convolutional Neural Network for Human Activity Recognition in Tensorflow
485 219 +0/wk
GitHub
android cnn convolutional-neural-networks deep-learning human-activity-recognition notebook tensorflow
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Star & Fork Trend (21 data points)
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aqibsaeed/Human-Activity-Recognition-using-CNN has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Human-Activity-Recognition-using-CNN | llm-analysis | torch-uncertainty | tensorflow-reinforce |
|---|---|---|---|---|
| Stars | 485 | 485 | 485 | 486 |
| Forks | 219 | 57 | 40 | 134 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | Apache-2.0 | MIT |
Capability Radar vs llm-analysis
Human-Activity-Recognition-using-CNN
llm-analysis
Maintenance Activity 0
Last code push 1239 days ago.
Community Engagement 20
Fork-to-star ratio: 45.2%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.