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Matesanz/mlops-course

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This repository teaches how to train, evaluate and deploy ML models using MLFlow

active 2023-10-07 → 2024-10-13 (UTC)

Complete coverage26,716 / 26,716 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-01 (UTC)
Events
117
Pushes
37
Pull requests
28
Issues
5
Stars
10
Forks
10

Activity over time

Daily event counts in the loaded window

Line chart, 373 days from 2023-10-07 to 2024-10-13. Pushes: 37 total, peak 11 in a day. Pull requests: 28 total, peak 8 in a day. Issues: 5 total, peak 2 in a day. Comments: 2 total, peak 1 in a day. Stars: 10 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
Matesanz5924282
github-actions[bot]131300

Recent activity

Latest issues, pull requests and releases

  • Pull request#30Matesanz2024-10-13 18:57
  • Pull request#30Matesanz2024-10-13 18:57
  • Issue comment#24Matesanz2024-03-07 17:19
    Upgrade Course
  • Pull request#29Matesanz2024-03-07 17:01
  • Pull request#28Matesanz2024-03-07 16:53
  • Pull request#28Matesanz2024-03-07 16:52
  • Pull request#27Matesanz2024-03-03 20:16
  • Pull request#27Matesanz2024-03-03 20:16
  • Pull request#26Matesanz2024-02-29 17:04
  • Pull request#26Matesanz2024-02-29 17:03
  • Pull request#25Matesanz2024-02-22 00:08
  • Pull request#25Matesanz2024-02-22 00:07
  • Issue#24Matesanz2024-01-31 09:31
    Upgrade Course
  • Pull request#23Matesanz2023-10-31 16:49
  • Pull request#23Matesanz2023-10-31 16:48
  • Pull request#22Matesanz2023-10-19 20:47
  • Pull request#22Matesanz2023-10-19 20:47
  • Pull request#21Matesanz2023-10-19 16:23
  • Pull request#20Matesanz2023-10-19 00:31
  • Pull request#20Matesanz2023-10-19 00:30
  • Pull request#19Matesanz2023-10-18 23:56
  • Pull request#19Matesanz2023-10-18 23:56
  • Pull request#18Matesanz2023-10-18 23:51
  • Pull request#18Matesanz2023-10-18 23:51
  • Pull request#17Matesanz2023-10-18 23:48

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 10 stars here means stars gained during the window, not the repo's star count.