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MarkHmnv/Toxic-Comment-Classifier

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A TensorFlow-based neural network model which uses the BERT model to classify comments as toxic or non-toxic.

active 2023-10-012023-10-02 (UTC)

Complete coverage26,540 / 26,540 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
22
Pushes
4
Pull requests
8
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2023-10-01 to 2023-10-02. Pushes: 4 total, peak 3 in a day. Pull requests: 8 total, peak 6 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 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
MarkHmnv12480

Recent activity

Latest issues, pull requests and releases

  • Pull request#4MarkHmnv2023-10-02 08:47
  • Pull request#4MarkHmnv2023-10-02 08:47
  • Pull request#3MarkHmnv2023-10-01 19:13
  • Pull request#3MarkHmnv2023-10-01 19:12
  • ReleaseMarkHmnv2023-10-01 18:51
    Initial Release
  • Pull request#2MarkHmnv2023-10-01 18:48
  • Pull request#2MarkHmnv2023-10-01 18:48
  • Pull request#1MarkHmnv2023-10-01 18:29
  • Pull request#1MarkHmnv2023-10-01 18:29

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.