pytorch_covid_analysis miguelestradam3 · PARTIAL
Using PyTorch and Transfer Learning with a pretrained ResNet-18 model, this notebook walks through the complete image classification pipeline, from data preparation to model evaluation.
github.com/miguelestradam3/pytorch_covid_analysis · ★ 4 · Forks 0 · Size 1.1 MB
SUMMARY
Technologies 3
Scored 2
Observed 2
Practices 6
Evidence 4
Skips 1
COVERAGE
Analyzed 5 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-06-16
Last commit 2026-07-20
Active months 3
Commits 6