AC
OysterQAQ/ACG2vec
ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.（文本语义检索、以图搜图、语义搜图、图片超分辨率、推荐系统）
576 24 +0/wk
GitHub
acg anime deep-learning embedding feature-extraction image-search image-super-resolution keras tensorflow
Trend
0
Star & Fork Trend (33 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
OysterQAQ/ACG2vec has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | ACG2vec | Deep-Metric-Learning-Baselines | AnimalAI-Olympics | see |
|---|---|---|---|---|
| Stars | 576 | 576 | 576 | 576 |
| Forks | 24 | 91 | 83 | 150 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | GPL-3.0 |
Capability Radar vs Deep-Metric-Learning-Baselines
ACG2vec
Deep-Metric-Learning-Baselines
Maintenance Activity 0
Last code push 779 days ago.
Community Engagement 68
Fork-to-star ratio: 4.2%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.