The google-ai-edge organization on GitHub showcases a diverse collection of repositories focusing on machine learning and artificial intelligence applications. Notable projects include mediapipe, LiteRT, and gallery, developed using languages such as C++, Kotlin, Python, and JavaScript. Their public footprint emphasizes contributions to on-device ML solutions and edge computing.
Top languages
Public repositories
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
No description provided for this repository.
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
No description provided for this repository.
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
No description provided for this repository.
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
No description provided for this repository.
google-ai-edge.github.io
A curated list of resources to use Google AI Edge software.
Frequently asked questions
What does google-ai-edge build on GitHub?
google-ai-edge focuses on machine learning and artificial intelligence projects, with repositories that include mediapipe for media processing and LiteRT for deploying models on edge devices. Their work supports various applications in real-time ML solutions.
Which programming languages does google-ai-edge use?
The primary programming languages used by google-ai-edge include C++, Kotlin, Python, Jupyter Notebook, JavaScript, and TypeScript. This variety allows them to create versatile solutions for machine learning and AI tasks.
Are google-ai-edge's repositories public?
Yes, all repositories under the google-ai-edge organization on GitHub are public. This transparency enables developers and researchers to access and contribute to their innovative machine learning projects.
Is this exposure intended?
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