PL
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
4.6k 682 +0/wk
GitHub
ai artificial-intelligence deep-learning deployment kubeflow machine-learning pipeline practical-machine-learning production-system scalable-applications system-design tfx
Trend
3
Star & Fork Trend (26 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
alirezadir/Production-Level-Deep-Learning has +0 stars this period . 7-day velocity: 0.0%.
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| Metric | Production-Level-Deep-Learning | Rath | TNN | Deep-reinforcement-learning-with-pytorch |
|---|---|---|---|---|
| Stars | 4.6k | 4.6k | 4.6k | 4.6k |
| Forks | 682 | 382 | 772 | 899 |
| Weekly Growth | +0 | +0 | -1 | +0 |
| Language | N/A | TypeScript | C++ | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | AGPL-3.0 | NOASSERTION | MIT |
Capability Radar vs Rath
Production-Level-Deep-Learning
Rath
Maintenance Activity 0
Last code push 300 days ago.
Community Engagement 74
Fork-to-star ratio: 14.8%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.