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kendrickchibueze/Deep-Learning-Approaches-for-Classifying-Software-Design-Patterns

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This project builds a deep learning model to classify software design patterns using data from CSV files. The dataset, downloaded from Dropbox, includes features from various design patterns across methods and architectures. Data preprocessing and deep learning techniques are applied for classification.

active 2024-12-09 → 2024-12-09 (UTC)

Complete coverage28,528 / 28,528 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-15 (UTC)
Events
3
Pushes
1
Pull requests
0
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0
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0
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0

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Line chart, 1 days from 2024-12-09 to 2024-12-09. Pushes: 1 total, peak 1 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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kendrickchibueze1100

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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.