GitHub - mit-han-lab/tinyengine: [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; MCUNetV3: On-Device Training Under 256KB Memory

This is the official implementation of TinyEngine, a memory-efficient and high-performance neural network library for Microcontrollers. TinyEngine is a part of MCUNet, which also consists of TinyNAS. MCUNet is a system-algorithm co-design framework for tiny deep learning on microcontrollers. TinyEngine and TinyNAS are co-designed to fit the tight memory budgets. We will soon release Tiny Training Engine used in MCUNetV3: On-Device Training Under 256KB Memory. If you are interested in getting updates, please sign up here to get notified!