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Prashansa working on this fork.For new data generation Semi-supervised-sequence-learning-Project we have writtern a python script to fetchπŸ“Š, data from the πŸ’», imdb website 🌐 and converted into txt files.

active 2024-05-08 β†’ 2024-07-16 (UTC)

Partial coverage20,502 / 26,258 hourly files (78%) Β· 2 absent upstream Β· 5,753 failed, retryable2023-08-15 β†’ 2026-08-13 (UTC)β€” sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
809
Pushes
43
Pull requests
92
Issues
160
Stars
53
Forks
68

Activity over time

Daily event counts in the loaded window

Line chart, 70 days from 2024-05-08 to 2024-07-16. Pushes: 43 total, peak 9 in a day. Pull requests: 92 total, peak 16 in a day. Issues: 160 total, peak 18 in a day. Comments: 362 total, peak 57 in a day. Stars: 53 total, peak 14 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

Recent activity

Latest issues, pull requests and releases

  • Issue comment#192github-actions[bot]2024-07-16 00:56
    Automatically Comment on Pull Request Raise
  • Issue#192github-actions[bot]2024-07-16 00:56
    Automatically Comment on Pull Request Raise
  • Issue comment#193github-actions[bot]2024-07-15 00:57
    Scrape NBA stats using selenium and beautifulSoup
  • Issue#193github-actions[bot]2024-07-15 00:57
    Scrape NBA stats using selenium and beautifulSoup
  • Pull request#211sanjay-kv2024-07-14 07:22
  • Pull request#211MYlab102024-07-14 06:56
  • Issue comment#6github-actions[bot]2024-07-14 01:00
    Learn.md
  • Issue comment#190github-actions[bot]2024-07-14 01:00
    [Feature] Analyze IMDB ratings using ChatGPT and NLP
  • Issue#6github-actions[bot]2024-07-14 01:00
    Learn.md
  • Issue#190github-actions[bot]2024-07-14 01:00
    [Feature] Analyze IMDB ratings using ChatGPT and NLP
  • Issue comment#188github-actions[bot]2024-07-13 00:56
    Make a full test on dataset based on BERT
  • Issue#188github-actions[bot]2024-07-13 00:56
    Make a full test on dataset based on BERT
  • Pull request#207github-actions[bot]2024-07-13 00:33
  • Issue comment#207github-actions[bot]2024-07-13 00:33
    Fraudulent website detection
  • Issue comment#171github-actions[bot]2024-07-12 00:55
    TypeError: WebDriver ._ init_() got an unexpected keyword argument 'executable_path'
  • Issue comment#185github-actions[bot]2024-07-12 00:55
    Movie Genre Classification system
  • Issue#171github-actions[bot]2024-07-12 00:55
    TypeError: WebDriver ._ init_() got an unexpected keyword argument 'executable_path'
  • Issue#185github-actions[bot]2024-07-12 00:55
    Movie Genre Classification system
  • Issue comment#210github-actions[bot]2024-07-10 20:36
    Adding a new feature to emotion Analysis repo
  • Issue comment#210anushkasaxena072024-07-10 20:36
    Adding a new feature to emotion Analysis repo
  • Issue#210anushkasaxena072024-07-10 20:35
    Adding a new feature to emotion Analysis repo
  • Issue comment#177github-actions[bot]2024-07-10 00:56
    Add callbacks to handle overfitting
  • Issue#177github-actions[bot]2024-07-10 00:56
    Add callbacks to handle overfitting
  • Issue comment#209github-actions[bot]2024-07-09 05:44
    Include Movie Posters in Recommendations
  • Issue#209Shravya0162024-07-09 05:43
    πŸ“[Docs]: Include Movie Posters in Recommendations

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals β€” 53 stars here means stars gained during the window, not the repo's star count.