RE
hsd1503/resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
529 110 +0/wk
GitHub
deep-neural-networks ecg-classification
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
hsd1503/resnet1d has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | resnet1d | deep-image-matching | gym-starcraft | DL-Simplified |
|---|---|---|---|---|
| Stars | 529 | 529 | 529 | 530 |
| Forks | 110 | 74 | 138 | 401 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | NOASSERTION | N/A | MIT |
Capability Radar vs deep-image-matching
resnet1d
deep-image-matching
Maintenance Activity 0
Last code push 1521 days ago.
Community Engagement 100
Fork-to-star ratio: 20.8%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.