DL
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
4.4k 693 +0/wk
GitHub
angularjs c-plus-plus caffe2 convert-pytorch-models deep-learning deep-neural-networks flask keras model-serving mxnet production python
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ahkarami/Deep-Learning-in-Production 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 | Deep-Learning-in-Production | MachineLearningNotebooks | Ad-papers | neurojs |
|---|---|---|---|---|
| Stars | 4.4k | 4.4k | 4.4k | 4.4k |
| Forks | 693 | 2.6k | 1.2k | 362 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | N/A | Jupyter Notebook | Python | JavaScript |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | MIT |
Capability Radar vs MachineLearningNotebooks
Deep-Learning-in-Production
MachineLearningNotebooks
Maintenance Activity 0
Last code push 516 days ago.
Community Engagement 79
Fork-to-star ratio: 15.8%. 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.