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This has all training code and other related resources for everything including testing in Colabs but, not the application itself.

active 2025-01-20 → 2025-02-08 (UTC)

Partial coverage20,280 / 26,020 hourly files (78%) · 2 absent upstream · 5,737 failed, retryable2023-08-24 → 2026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
35
Pushes
0
Pull requests
0
Issues
23
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 20 days from 2025-01-20 to 2025-02-08. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 23 total, peak 11 in a day. Comments: 9 total, peak 2 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
grewe31008
rakshitshah2807011001

Recent activity

Latest issues, pull requests and releases

  • Issue#27grewe2025-02-08 19:56
    Option4OpenAI: Colab dev
  • Issue#26grewe2025-02-08 19:56
    Optoin4OpenAI: training + testing
  • Issue#25grewe2025-02-08 19:56
    Option5DeepSeek: Colab dev
  • Issue#24grewe2025-02-08 19:56
    Option5DeepSeek: training + testing
  • Issue#23grewe2025-02-08 19:55
    Option5DeepSeek: Colab Dev
  • Issue comment#13grewe2025-02-08 19:53
    Comparison Track 2 Options 1,2,3
  • Issue comment#22grewe2025-02-08 19:42
    Respository
  • Issue#22grewe2025-02-08 19:25
    Respository
  • Issue#21grewe2025-02-08 19:24
    Code Modificaton for Output Vision System - remove “Error”
  • Issue#20grewe2025-02-08 19:19
    Option 4: Colab w/ DeepSeek-R1
  • Issue comment#7grewe2025-01-28 00:00
    Design best Metrics for (BLUE or ?) for Instructional Text closeness
  • Issue comment#7grewe2025-01-28 00:00
    Design best Metrics for (BLUE or ?) for Instructional Text closeness
  • Issue comment#2rakshitshah2807012025-01-23 07:55
    TACK 1 completion + dataset output
  • Issue#17grewe2025-01-21 23:46
    Presentation Practice --> Presentatoin
  • Issue#16grewe2025-01-21 23:45
    Capstone + Presentation Creation
  • Issue#15grewe2025-01-21 23:44
    Application Testing
  • Issue#14grewe2025-01-21 23:42
    Application Development
  • Issue#13grewe2025-01-21 23:40
    Comparison Track 2 Options 1,2,3
  • Issue#12grewe2025-01-21 23:36
    Option 3 Training + Testing
  • Issue#11grewe2025-01-21 23:35
    Option 2 Training + Testing
  • Issue#10grewe2025-01-21 23:31
    Option 1 Trainging + Testing
  • Issue comment#4grewe2025-01-21 23:30
    Option 1 COLAB creation- (pretrained) transformer retraining (not LLM)
  • Issue#9grewe2025-01-21 23:28
    Option 3 COLAB creation- for retrain OpenAI decoder model only
  • Issue#8grewe2025-01-21 23:26
    Option 2 COLAB creation- for retrain T5 encoder-decoder
  • Issue comment#4grewe2025-01-21 23:22
    Option 1 - (pretrained) transformer retraining (not LLM)

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.