galafis/python-deep-learning-cv
51
Data Science project - python-deep-learning-cv
What's novel
Data Science project - python-deep-learning-cv
Code Analysis
0 files read · 3 roundsA NumPy-based educational framework implementing basic CNN layers (Conv2D, MaxPool, Dense) with forward/backward passes and image augmentation.
Strengths
Clean separation of concerns between layers, augmentation, and evaluation; consistent naming conventions; includes Dockerfile for reproducibility.
Weaknesses
Lacks robust error handling (e.g., shape mismatches in convolution); limited test coverage visible from file count; pure NumPy implementation is computationally inefficient compared to optimized libraries.
Score Breakdown
Innovation
4 (25%)
Craft
50 (35%)
Traction
5 (15%)
Scope
48 (25%)
Signal breakdown
Innovation
Not Fork+1
Code Novelty+1
Concept Novelty+1
Craft
Ci-2
Tests+8
Polish+0
Releases+0
Has License+5
Code Quality+16
Readme Quality+15
Recent Activity+7
Structure Quality+5
Commit Consistency+2
Has Dependency Mgmt+5
Traction
Forks+0
Stars+6
Hn Points+0
Watchers+0
Early Traction+0
Devto Reactions+0
Community Contribs+0
Scope
Commits+5
Languages+5
Subsystems+10
Bloat Penalty+0
Completeness+7
Contributors+5
Authored Files+8
Readme Code Match+3
Architecture Depth+3
Implementation Depth+8
Evidence
Commits
8
Contributors
1
Files
13
Active weeks
4
TestsCI/CDREADMELicenseContributing
Repository
Language
Python
Stars
1
Forks
0
License
MIT