Resnet-DCBAM AhmadJeddi · COMPLETED
A clean and modular PyTorch implementation of DCBAM (Dual-Channel & Spatial Attention) integrated into a custom ResNet50 backbone. Includes attention modules, pretrained weight loading, layer freezing, full examples, and production-ready architecture.
github.com/AhmadJeddi/Resnet-DCBAM · ★ 38 · Forks 1 · Size 17 KB
SUMMARY
Technologies 6
Scored 6
Observed 6
Practices 6
Evidence 8
Skips 0
COVERAGE
Analyzed 10 files · 8 commits · 0 API calls
TECHNOLOGIES & DEPTH
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
5 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
TypeScript LANGUAGE Depth 53
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-12-07
Last commit 2026-07-26
Active months 3
Commits 8