VZ
SkalskiP/vlms-zero-to-hero
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
1.2k 102 +0/wk
GitHub
bert-model clip computer-vision embeddings gpt gpt-2 lora natural-language-processing seq2seq vision-language-model word2vec
Trend
0
Star & Fork Trend (46 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SkalskiP/vlms-zero-to-hero 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 | vlms-zero-to-hero | UniDepth | pruna | cleanvision |
|---|---|---|---|---|
| Stars | 1.2k | 1.2k | 1.2k | 1.2k |
| Forks | 102 | 109 | 89 | 77 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | NOASSERTION | Apache-2.0 | Apache-2.0 |
Capability Radar vs UniDepth
vlms-zero-to-hero
UniDepth
Maintenance Activity 0
Last code push 441 days ago.
Community Engagement 44
Fork-to-star ratio: 8.8%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.