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AnujPatel99/Fast-Gradient-Sign-Method

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The fast gradient sign method works by using the gradients of the neural network to create an adversarial example. For an input image, the method uses the gradients of the loss with respect to the input image to create a new image that maximizes the loss

active 2023-08-27 → 2024-05-12 (UTC)

Complete coverage27,760 / 27,760 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-14 (UTC)
Events
16
Pushes
3
Pull requests
2
Issues
2
Stars
2
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 260 days from 2023-08-27 to 2024-05-12. Pushes: 3 total, peak 3 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 2 total, peak 2 in a day. Comments: 1 total, peak 1 in a day. Stars: 2 total, peak 1 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
AnujPatel998321

Recent activity

Latest issues, pull requests and releases

  • Pull request#3AnujPatel992023-08-27 05:26
  • Pull request#3AnujPatel992023-08-27 05:26
  • Issue comment#1AnujPatel992023-08-27 05:07
  • Issue#1AnujPatel992023-08-27 05:07
  • Issue#1AnujPatel992023-08-27 05:07

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.