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google-research/tuning_playbook

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A playbook for systematically maximizing the performance of deep learning models.

active 2025-03-292026-07-24 (UTC)

Partial coverage11,268 / 12,000 hourly files (94%) · 2 absent upstream · 730 failed, retryable2025-03-282026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
904
Pushes
0
Pull requests
1
Issues
1
Stars
832
Forks
69

Activity over time

Daily event counts in the loaded window

Line chart, 483 days from 2025-03-29 to 2026-07-24. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 832 total, peak 12 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
233bjr1010
google-cla[bot]1001
nikitas-theo1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#83google-cla[bot]2025-08-23 08:38
    Bot: empty commit
  • Pull request#83233bjr2025-08-23 08:38
  • Issue#82nikitas-theo2025-08-04 08:32
    Figure missing in "How many trials are needed to get good results with quasi-random search?"

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 832 stars here means stars gained during the window, not the repo's star count.