RC
Erkaman/regl-cnn
Digit recognition with Convolutional Neural Networks in WebGL
511 62 +0/wk
GitHub
cnn convolutional-neural-networks deep-learning demo digit-recognition glsl gpgpu gpu javascript regl webgl
Trend
0
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Erkaman/regl-cnn has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | regl-cnn | DeepAlignmentNetwork | hamiltonian-nn | tensorflow-eager-tutorials |
|---|---|---|---|---|
| Stars | 511 | 511 | 511 | 510 |
| Forks | 62 | 137 | 154 | 109 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | JavaScript | Python | Jupyter Notebook | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | N/A |
Capability Radar vs DeepAlignmentNetwork
regl-cnn
DeepAlignmentNetwork
Maintenance Activity 0
Last code push 3522 days ago.
Community Engagement 61
Fork-to-star ratio: 12.1%. 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.