DoomSlayer16/discrete-distribution-network
50
🎨 Explore discrete distribution networks to generate realistic images and optimize sampling with powerful, efficient tools in deep learning.
What's novel
🎨 Explore discrete distribution networks to generate realistic images and optimize sampling with powerful, efficient tools in deep learning.
Score Breakdown
Innovation
2 (25%)
Craft
55 (35%)
Traction
6 (15%)
Scope
45 (25%)
Signal breakdown
Innovation
Not Fork+1
Code Novelty+0
Unique Niche+1
Concept Novelty+0
Craft
Ci-1
Tests+5
Polish+0
Releases+0
Has License+5
Code Quality+12
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+8
Languages+3
Subsystems+0
Bloat Penalty+0
Completeness+7
Contributors+5
Authored Files+8
Readme Code Match+3
Architecture Depth+3
Implementation Depth+8
Evidence
Commits
62
Contributors
1
Files
12
Active weeks
5
TestsCI/CDREADMELicenseContributing
Repository
Language
Python
Stars
1
Forks
0
License
MIT