Berkeley Vision and Learning Center
100%
of the visible star count comes from this organization's top three repositories.
8.8K
stars per repository in this same snapshot.
C++
is the most common language here, with 0 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 99% of its visible star count.
Organization pages work best when you separate portfolio breadth from flagship concentration. In Berkeley Vision and Learning Center's case, the visible top three repositories account for about 100% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is C++ (2), Shell (1), Unknown (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | ⭐ Stars | 🍴 Forks | Updated |
|---|---|---|---|---|---|
| 1 | bvlc/caffe Caffe: a fast open framework for deep learning. | C++ | 34.7K | 18.5K | 1 years ago |
| 2 | bvlc/caffe-tutorial DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe | Shell | 270 | 137 | 10 years ago |
| 3 | bvlc/raptor Code basis for the Realtime adAPtative detecTOR (first published and referred to at IEEE ICRA 2014) | C++ | 61 | 52 | 10 years ago |
| 4 | bvlc/DPD Deformable part descriptor project page | 30 | 38 | 12 years ago |
How to Read This Snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.