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awslabs/fraud-detection-using-machine-learning

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Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

active 2023-08-15 → 2024-10-01 (UTC)

Complete coverage27,621 / 27,621 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-08 (UTC)
Events
103
Pushes
0
Pull requests
0
Issues
1
Stars
75
Forks
27

Activity over time

Daily event counts in the loaded window

Line chart, 414 days from 2023-08-15 to 2024-10-01. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 75 total, peak 3 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
Mekalokesh1000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 75 stars here means stars gained during the window, not the repo's star count.