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Fantasyawsd/DeepLearningRoad

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深度学习入门教程, 优秀文章, Deep Learning Tutorial

active 2025-08-15 → 2025-09-05 (UTC)

Partial coverage11,481 / 12,479 hourly files (92%) · 2 absent upstream · 994 failed, retryable2025-03-08 → 2026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
13
Pushes
5
Pull requests
3
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 22 days from 2025-08-15 to 2025-09-05. Pushes: 5 total, peak 3 in a day. Pull requests: 3 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 3 total, peak 3 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
Copilot6411
Fantasyawsd5122

Recent activity

Latest issues, pull requests and releases

  • Pull request#2Fantasyawsd2025-09-05 19:51
  • Pull request#1Fantasyawsd2025-09-05 19:50
  • Pull request#2Copilot2025-08-21 17:39
  • Issue comment#1Copilot2025-08-15 17:50
    Reorganize README content into categorized files for better navigation and maintainability
  • Issue comment#1Fantasyawsd2025-08-15 17:30
    [WIP] This is a deep learning data summary project, with the main content located in the readme file. However, the current issue is that the content is somewhat disorganised. I would like to categorise it into N files, with each file covering a specific topi...
  • Issue comment#1Fantasyawsd2025-08-15 17:27
    [WIP] This is a deep learning data summary project, with the main content located in the readme file. However, the current issue is that the content is somewhat disorganised. I would like to categorise it into N files, with each file covering a specific topi...

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.