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hapijul-trigent/pattern_detection_explanation

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Create a Streamlit application that uses advanced machine learning techniques to detect and predict motion patterns in images or videos, providing explanations for cognitive learning questions.

active 2024-08-21 → 2024-09-05 (UTC)

Complete coverage27,905 / 27,905 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-20 (UTC)
Events
38
Pushes
22
Pull requests
13
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 16 days from 2024-08-21 to 2024-09-05. Pushes: 22 total, peak 11 in a day. Pull requests: 13 total, peak 4 in a day. Issues: 0 total, peak 0 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
hapijul-trigent3120110
skhapijulhossen4220

Recent activity

Latest issues, pull requests and releases

  • Pull request#7hapijul-trigent2024-09-05 12:12
  • Pull request#7hapijul-trigent2024-09-05 12:12
  • Pull request#6hapijul-trigent2024-09-05 06:07
  • Pull request#6hapijul-trigent2024-09-05 06:07
  • Pull request#5hapijul-trigent2024-09-03 10:50
  • Pull request#5hapijul-trigent2024-09-03 10:50
  • Pull request#4hapijul-trigent2024-09-03 09:39
  • Pull request#3hapijul-trigent2024-09-02 05:59
  • Pull request#3hapijul-trigent2024-09-02 05:58
  • Pull request#2hapijul-trigent2024-09-02 03:13
  • Pull request#2hapijul-trigent2024-09-02 03:13
  • Pull request#1skhapijulhossen2024-09-01 11:55
  • Pull request#1skhapijulhossen2024-09-01 11:55

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.