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; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

CMakefilePythonHTMLC++Assemblycmicrocontrollerdeep-learningcpppytorchcodegeneratorquantizationedge-computingneural-architecture-searchtinyml
This is stars and forks stats for /mit-han-lab/tinyengine repository. As of 03 May, 2024 this repository has 619 stars and 101 forks.

TinyEngine 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. The MCUNet and TinyNAS repo is here. MCUNetV1 | MCUNetV2 | MCUNetV3 Demo (Inference) Demo (Training) News If you are interested...
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