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OpenPecha/style-classification

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The style classification of Tibetan text is done to create training data to develop a style detection model that accurately identifies and categorises different written and printed styles such as Uchen, Umê, Chuyig, and Drutsa, based on their distinct visual characteristics.

active 2024-05-30 → 2024-09-03 (UTC)

Complete coverage27,490 / 27,490 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-03 (UTC)
Events
27
Pushes
15
Pull requests
5
Issues
2
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 97 days from 2024-05-30 to 2024-09-03. Pushes: 15 total, peak 6 in a day. Pull requests: 5 total, peak 4 in a day. Issues: 2 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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
10kalden171230
ta4tsering5320

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.