MNIST-Digit-Classification-PyTorch ataturhan21 · PARTIAL
A complete solution for the MNIST handwritten digit classification challenge using PyTorch, including data exploration, model training, and Kaggle submission generation.
github.com/ataturhan21/MNIST-Digit-Classification-PyTorch · ★ 24 · Forks 0 · Size 28 KB
SUMMARY
Technologies 4
Scored 2
Observed 2
Practices 6
Evidence 5
Skips 2
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
pandas LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-11-19
Last commit 2024-11-20
Active months 1
Commits 6