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ahkarami/Deep-Learning-in-Production

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In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

active 2023-08-18 → 2026-03-23 (UTC)

Complete coverage27,998 / 27,998 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-24 (UTC)
Events
414
Pushes
6
Pull requests
3
Issues
1
Stars
357
Forks
47

Activity over time

Daily event counts in the loaded window

Line chart, 949 days from 2023-08-18 to 2026-03-23. Pushes: 6 total, peak 1 in a day. Pull requests: 3 total, peak 1 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 357 total, peak 13 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
ahkarami6600
emilecourthoud1010
juliensalinas1010
SayedNadim1000
mertbozkir1010

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 357 stars here means stars gained during the window, not the repo's star count.