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ML-Git is a tool which provides a Distributed Version Control system to enable efficient dataset management. Like its name emphasizes, it is meant to be like git in mindset, concept and workflows. ML-Git enables the following operations. Manage a repository of different datasets, labels and models. Versioning immutable versions of models, labels and documents. Distribute these ML artifacts between members of a team or across organizations. Apply the right data governance and security models to t

active 2023-09-292024-05-26 (UTC)

Complete coverage26,761 / 26,761 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
77
Pushes
29
Pull requests
1
Issues
0
Stars
1
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 241 days from 2023-09-29 to 2024-05-26. Pushes: 29 total, peak 19 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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
diego-pedroso302910

Recent activity

Latest issues, pull requests and releases

  • Releasediego-pedroso2023-10-03 20:55
    2.9.9
  • Releasediego-pedroso2023-10-03 19:35
    2.9.8
  • Releasediego-pedroso2023-10-03 19:32
    2.9.8
  • Releasediego-pedroso2023-10-03 19:19
    2.9.6
  • Releasediego-pedroso2023-10-03 19:17
    2.9.5
  • Releasediego-pedroso2023-09-29 20:16
    2.9.5
  • Releasediego-pedroso2023-09-29 19:38
    2.9.5
  • Releasediego-pedroso2023-09-29 19:16
    2.9.4
  • Releasediego-pedroso2023-09-29 19:09
    2.9.3
  • Releasediego-pedroso2023-09-29 18:50
    2.9.3
  • Releasediego-pedroso2023-09-29 18:26
    2.9.3
  • Releasediego-pedroso2023-09-29 18:14
    2.9.3
  • Releasediego-pedroso2023-09-29 18:05
    2.9.3
  • Releasediego-pedroso2023-09-29 17:16
    2.9.3
  • Pull request#294diego-pedroso2023-09-29 14:24

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.