Repository
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
Stars
685 forks · 7 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
11.7
Momentum / 100
see the breakdown below
8y ago
Created
last push 24mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 24mo ago; decays to zero at 180 days |
| Scale | 15 | 10.6 | 4.4k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 11.7 | sum of the above |
Detail
| Topics | angularjsc-plus-pluscaffe2convert-pytorch-modelsdeep-learningdeep-neural-networksflaskkerasmodel-servingmxnetproductionpythonpytorchreactrest-apiservingserving-pytorch-modelstensorflow-modelstesnorflowtutorial |
| Matched on | Learning & Roadmaps (tutorial) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +-1 stars over 26 days = 0.0/day |
| Lifetime average | 1.41 stars/day over 3,108 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |