google-ai-edge 在 GitHub 上拥有多个公共代码库，主要使用 C++、Jupyter Notebook、Python、Kotlin、JavaScript 和 TypeScript 等编程语言。该组织的知名项目包括 mediapipe、gallery 和 LiteRT-LM，这些项目专注于机器学习和边缘计算，展示了其在实时媒体和设备上的多种应用。
顶级语言
公共仓库
mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
gallery
A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
LiteRT-LM
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
mediapipe-samples
此仓库未提供描述。
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
model-explorer
A modern model graph visualizer and debugger
litert-torch
Support PyTorch model conversion with LiteRT.
litert-samples
此仓库未提供描述。
ai-edge-quantizer
AI Edge Quantizer: flexible post training quantization for LiteRT models.
mediapipe-samples-web
A collection of examples for the MediaPipe Task APIs that can run fully inside your browser.
models-samples
此仓库未提供描述。
LiteRT-CLI
A convenient CLI to streamline LiteRT related development workflows, including converting, quantizing, compiling, managing, running, benchmarking and visualizing LiteRT (TFLite) models on various hardwares (CPU / GPU / NPU) across platforms (desktop, mobile or cloud).
eval
此仓库未提供描述。
google-ai-edge.github.io
A curated list of resources to use Google AI Edge software.
常见问题
google-ai-edge 在 GitHub 上构建了什么？
google-ai-edge 主要构建与机器学习和边缘计算相关的项目，包含 mediapipe、gallery 和 LiteRT-LM 等代码库。这些项目提供了跨平台的解决方案，支持实时和流媒体处理。
google-ai-edge 使用哪些编程语言？
google-ai-edge 使用多种编程语言，包括 C++、Jupyter Notebook、Python、Kotlin、JavaScript 和 TypeScript。这些语言支持其广泛的机器学习和人工智能应用。
google-ai-edge 的代码库是公开的吗？
是的，google-ai-edge 的所有代码库都是公共的。用户可以访问这些代码库，了解其在机器学习和边缘计算领域的研究与开发成果。