google-ai-edge
88%
of the visible star count comes from this organization's top three repositories.
5.5K
stars per repository in this same snapshot.
C++
is the most common language here, with 11 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 52% of its visible star count.
Organization pages work best when you separate portfolio breadth from flagship concentration. In google-ai-edge's case, the visible top three repositories account for about 88% 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++ (3), Jupyter Notebook (3), Kotlin (2). 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 | google-ai-edge/mediapipe Cross-platform, customizable ML solutions for live and streaming media. | C++ | 34.7K | 5.9K | Today |
| 2 | google-ai-edge/gallery A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally. | Kotlin | 20.7K | 2K | 4 days ago |
| 3 | google-ai-edge/LiteRT-LM | C++ | 3.5K | 336 | Today |
| 4 | google-ai-edge/mediapipe-samples | Jupyter Notebook | 2.6K | 731 | 3 days ago |
| 5 | google-ai-edge/LiteRT LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization | C++ | 2.2K | 274 | Today |
| 6 | google-ai-edge/model-explorer A modern model graph visualizer and debugger | JavaScript | 1.4K | 148 | Yesterday |
| 7 | google-ai-edge/litert-torch Support PyTorch model conversion with LiteRT. | Jupyter Notebook | 989 | 160 | 1 weeks ago |
| 8 | google-ai-edge/litert-samples | Kotlin | 271 | 67 | 1 weeks ago |
| 9 | google-ai-edge/ai-edge-quantizer AI Edge Quantizer: flexible post training quantization for LiteRT models. | Python | 116 | 26 | 2 days ago |
| 10 | google-ai-edge/models-samples | Jupyter Notebook | 21 | 5 | 1 years ago |
| 11 | google-ai-edge/mediapipe-samples-web A collection of examples for the MediaPipe Task APIs that can run fully inside your browser. | TypeScript | 5 | 2 | 2 days ago |
| 12 | google-ai-edge/google-ai-edge.github.io A curated list of resources to use Google AI Edge software. | 3 | 0 | 1 weeks 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.