A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.

AI Edge Quantizer: flexible post training quantization for LiteRT models.

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

Support PyTorch model conversion with LiteRT.

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).