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navin772/Retail_product_segmentation

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Segment typical products on a retail shelf through Machine Learning techniques and find similar fashion items in a retail fashion store through vector embeddings

active 2023-08-25 → 2024-07-25 (UTC)

Complete coverage28,402 / 28,402 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-10 (UTC)
Events
39
Pushes
27
Pull requests
7
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 336 days from 2023-08-25 to 2024-07-25. Pushes: 27 total, peak 9 in a day. Pull requests: 7 total, peak 3 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
navin772332760
dependabot[bot]1010

Recent activity

Latest issues, pull requests and releases

  • Pull request#4navin7722024-07-25 12:57
  • Pull request#4navin7722024-07-25 12:57
  • Pull request#3dependabot[bot]2024-07-25 12:55
  • Pull request#2navin7722023-09-01 17:37
  • Pull request#2navin7722023-09-01 17:36
  • Releasev1.0navin7722023-09-01 14:47
  • Pull request#1navin7722023-08-31 16:18
  • Pull request#1navin7722023-08-31 16:18

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.