Members
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mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
C++ ★ 36k 1d agoExplain → -
gallery
A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
Kotlin ★ 24k 17h agoExplain → -
LiteRT-LM
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
C++ ★ 5.9k 3h agoExplain → -
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++ ★ 3.0k 3h agoExplain → -
mediapipe-samples
No description.
Jupyter Notebook ★ 2.8k 22h agoExplain → -
model-explorer
A modern model graph visualizer and debugger
JavaScript ★ 1.5k 1d agoExplain → -
litert-torch
Support PyTorch model conversion with LiteRT.
Jupyter Notebook ★ 1.1k 13h agoExplain → -
litert-samples
No description.
Kotlin ★ 364 12h agoExplain → -
ai-edge-quantizer
AI Edge Quantizer: flexible post training quantization for LiteRT models.
Python ★ 180 4d agoExplain → -
mediapipe-samples-web
A collection of examples for the MediaPipe Task APIs that can run fully inside your browser.
TypeScript ★ 52 17h agoExplain → -
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).
Python ★ 32 25d agoExplain → -
models-samples
No description.
Jupyter Notebook ★ 23 1y agoExplain → -
eval
No description.
Python ★ 7 14h agoExplain → -
google-ai-edge.github.io
A curated list of resources to use Google AI Edge software.
★ 6 3mo agoExplain →
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