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PreistlyPython/lol_live_coach

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ML Learning Project Using Riot Api to Inference Win Rates Based on Champion Selection - End goal of creating speach based live coaching app using API vision to screen capture game play and provide live coaching based on current meta (items and champions) and the latest info from pro games and coaching and analyzers on youtube using yt_func

active 2024-01-232024-01-23 (UTC)

Partial coverage19,530 / 25,162 hourly files (78%) · 2 absent upstream · 5,629 failed, retryable2023-09-292026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-01-23 to 2024-01-23. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 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
PreistlyPython1100

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

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.