sparse-conv-autoencoders-mnist HeyIamMarasiniAmrit · COMPLETED
Convolutional, Sparse, Stacked & Denoising Autoencoders on MNIST using TensorFlow/Keras. Includes KL-divergence sparsity constraint, encoder/decoder separation, and reconstruction visualizations.
github.com/HeyIamMarasiniAmrit/sparse-conv-autoencoders-mnist · ★ 1 · Forks 0 · Size 62 KB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 12 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
XML LANGUAGE Depth 70
6 files · PRODUCTION
Python LANGUAGE Depth 70
3 files · PRODUCTION
NumPy LIBRARY Depth 47
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-08-19
Last commit 2026-08-19
Active months 1
Commits 3