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TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

active 2023-08-162026-05-11 (UTC)

Partial coverage20,527 / 26,283 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
398
Pushes
2
Pull requests
1
Issues
1
Stars
338
Forks
54

Activity over time

Daily event counts in the loaded window

Line chart, 1000 days from 2023-08-16 to 2026-05-11. Pushes: 2 total, peak 2 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 338 total, peak 4 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
TarrySingh2200
Geraldine-Maes2000
JasonnnW30001010
Abhijais48961000

Recent activity

Latest issues, pull requests and releases

  • Pull request#424JasonnnW30002025-01-01 18:44
  • Issue#420Geraldine-Maes2024-04-13 14:29
    Start up Asus

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 338 stars here means stars gained during the window, not the repo's star count.