robertbejan/cotraining_dissertation
46
This project is a Deep Learning approach at medical image classification. This is mainly focused on developing a semi-supervised learning algorithm based on co-training and pseudo-labeling. This serves as the final project for my master's thesis and it's still under development.
What's novel
This project is a Deep Learning approach at medical image classification. This is mainly focused on developing a semi-supervised learning algorithm based on co-training and pseudo-labeling. This serves as the final project for my master's thesis and it's still under development.
Score Breakdown
Innovation
4 (25%)
Craft
35 (35%)
Traction
6 (15%)
Scope
53 (25%)
Signal breakdown
Innovation
Not Fork+1
Code Novelty+0
Unique Niche+1
Concept Novelty+2
Craft
Ci-1
Tests-1
Polish+0
Releases+0
Has License+0
Code Quality+12
Readme Quality+12
Recent Activity+7
Structure Quality+4
Commit Consistency+2
Has Dependency Mgmt+0
Traction
Forks+0
Stars+6
Hn Points+0
Watchers+0
Early Traction+0
Devto Reactions+0
Community Contribs+0
Scope
Commits+7
Languages+5
Subsystems+5
Bloat Penalty+0
Completeness+5
Contributors+5
Authored Files+12
Readme Code Match+3
Architecture Depth+3
Implementation Depth+8
Evidence
Commits
30
Contributors
1
Files
67
Active weeks
4
TestsCI/CDREADMELicenseContributing
Repository
Language
Python
Stars
2
Forks
0
License
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