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用python实现深度学习框架的源代码资料文件

active 2023-08-232026-01-24 (UTC)

Complete coverage26,480 / 26,480 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
114
Pushes
1
Pull requests
3
Issues
3
Stars
94
Forks
10

Activity over time

Daily event counts in the loaded window

Line chart, 886 days from 2023-08-23 to 2026-01-24. Pushes: 1 total, peak 1 in a day. Pull requests: 3 total, peak 3 in a day. Issues: 3 total, peak 1 in a day. Comments: 3 total, peak 2 in a day. Stars: 94 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
TangbohuDianPaoZhang5032
Hustwireless3001
zhangjuefei2100

Recent activity

Latest issues, pull requests and releases

  • Issue#28zhangjuefei2025-02-17 09:27
    在optimizer.py文件中的RMSProp类是否存在错误
  • Issue comment#28TangbohuDianPaoZhang2025-01-22 16:19
    在optimizer.py文件中的RMSProp类是否存在错误
  • Pull request#30TangbohuDianPaoZhang2025-01-22 16:18
  • Pull request#29TangbohuDianPaoZhang2025-01-22 16:09
  • Issue comment#28TangbohuDianPaoZhang2025-01-22 13:45
    在optimizer.py文件中的RMSProp类是否存在错误
  • Pull request#29TangbohuDianPaoZhang2025-01-22 13:44
  • Issue comment#27Hustwireless2024-08-17 22:25
    关于Node类中backward()函数计算jacobi的式子的疑问
  • Issue#27Hustwireless2024-08-17 22:25
    关于Node类中backward()函数计算jacobi的式子的疑问
  • Issue#27Hustwireless2024-08-15 21:53
    关于Node类中backward()函数计算jacobi的式子的疑问

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 94 stars here means stars gained during the window, not the repo's star count.