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CodeNinjaSarthak/HighAcc-CIFAR

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A deep learning project achieving 97.49% accuracy on the CIFAR dataset. This repository includes code, training details, and evaluation steps, offering insights into building high-accuracy image classification models on CIFAR.

active 2024-09-11 → 2025-03-05 (UTC)

Complete coverage27,812 / 27,812 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-16 (UTC)
Events
10
Pushes
4
Pull requests
0
Issues
1
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 176 days from 2024-09-11 to 2025-03-05. Pushes: 4 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 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
CodeNinjaSarthak6401

Recent activity

Latest issues, pull requests and releases

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.