Skip to content

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

active 2023-08-152025-07-13 (UTC)

Complete coverage26,325 / 26,325 hourly files (100%) · 2 absent upstream2023-08-152026-08-15 (UTC)
Events
27
Pushes
0
Pull requests
0
Issues
0
Stars
15
Forks
7

Activity over time

Daily event counts in the loaded window

Line chart, 699 days from 2023-08-15 to 2025-07-13. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 5 total, peak 5 in a day. Stars: 15 total, peak 1 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
kard19805005

Recent activity

Latest issues, pull requests and releases

  • Issue comment#55kard19802025-01-21 03:13
    Add in-memory database option
  • Issue comment#28kard19802025-01-21 03:06
    Add minimal unit tests
  • Issue comment#55kard19802025-01-21 03:05
    Add in-memory database option
  • Issue comment#113kard19802025-01-21 03:05
    Use MLBlocks for methods backend
  • Issue comment#159kard19802025-01-21 03:04
    Fails to call atm = ATM()?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 15 stars here means stars gained during the window, not the repo's star count.