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askastitva/Endoscopic_images_multi_class_classfication_using_EfficientNetB3

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This repository contains the source code used in the paper titled "Interpretable Deep Learning for Enhanced Multi-Class Classification of Gastrointestinal Endoscopic Images."

active 2025-03-10 → 2025-03-11 (UTC)

Complete coverage28,493 / 28,493 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-14 (UTC)
Events
13
Pushes
9
Pull requests
0
Issues
0
Stars
0
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0

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Line chart, 2 days from 2025-03-10 to 2025-03-11. Pushes: 9 total, peak 5 in a day. Pull requests: 0 total, peak 0 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.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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askastitva9900

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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.