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active 2023-09-042025-11-09 (UTC)

Complete coverage26,424 / 26,424 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
Events
73
Pushes
2
Pull requests
2
Issues
9
Stars
26
Forks
22

Activity over time

Daily event counts in the loaded window

Line chart, 798 days from 2023-09-04 to 2025-11-09. Pushes: 2 total, peak 2 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 9 total, peak 2 in a day. Comments: 12 total, peak 1 in a day. Stars: 26 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

Recent activity

Latest issues, pull requests and releases

  • Issue comment#80AlphaCloudX2025-05-15 05:23
    Bayesian Convolutional Neural Network | Chan`s Jupyter
  • Issue comment#103jxu2025-04-10 18:47
    Using XGBoost in pipelines | Chan`s Jupyter
  • Issue#103utterances-bot2025-04-10 18:47
    Using XGBoost in pipelines | Chan`s Jupyter
  • Issue comment#102goodboychan2025-03-20 00:35
    English translation
  • Issue#102bytearchive2025-03-19 20:04
    English translation
  • Issue comment#101homusman2025-01-16 03:14
    REINFORCE on CartPole-v0 | Chan`s Jupyter
  • Issue comment#101goodboychan2025-01-15 03:42
    REINFORCE on CartPole-v0 | Chan`s Jupyter
  • Issue comment#101homusman2025-01-14 04:53
    REINFORCE on CartPole-v0 | Chan`s Jupyter
  • Issue#101utterances-bot2025-01-14 04:53
    REINFORCE on CartPole-v0 | Chan`s Jupyter
  • Issue comment#100oscarhx2024-11-12 02:59
    Custom Loss Function in Tensorflow 2. | Chan`s Jupyter
  • Issue#100utterances-bot2024-11-12 02:59
    Custom Loss Function in Tensorflow 2. | Chan`s Jupyter
  • Issue comment#99jeffjohnsondicc2024-10-17 14:23
    Moving Average (MA) and ARMA Models | Chan`s Jupyter
  • Issue#99utterances-bot2024-10-17 14:23
    Moving Average (MA) and ARMA Models | Chan`s Jupyter
  • Issue comment#98AlexTech1232024-02-28 15:09
    Maximum Likelihood Estimation - how neural networks learn | Chan`s Jupyter
  • Issue#98utterances-bot2024-02-28 15:09
    Maximum Likelihood Estimation - how neural networks learn | Chan`s Jupyter
  • Issue comment#97github-actions[bot]2024-02-01 14:06
    [fastpages] Automated Upgrade
  • Issue#97github-actions[bot]2024-02-01 14:06
    [fastpages] Automated Upgrade
  • Issue#97ibrahemkhafaga2024-02-01 14:05
    [fastpages] Automated Upgrade
  • Issue comment#96goodboychan2024-01-10 06:09
    Update 2020-08-26-02-Random-Numbers-and-Probability.ipynb
  • Pull request#96goodboychan2024-01-10 04:06
  • Pull request#96LuisaBalaban2024-01-09 17:15
  • Issue comment#95Phu-Hong-Duong2024-01-01 10:14
    Hyperparameters and Parameters | Chan`s Jupyter
  • Issue#95utterances-bot2024-01-01 10:14
    Hyperparameters and Parameters | Chan`s Jupyter

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 26 stars here means stars gained during the window, not the repo's star count.