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bitnetmcu

Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others

courseware

In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).

currentsense-tinyml

Spying on Microcontrollers using Current Sensing and embedded TinyML models

deepc

vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

iccad-tinyml-open

[ICCAD'22 TinyML Contest] Efficient Heart Stroke Detection on Low-cost Microcontrollers

mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

ml-blood-pressure

picollm

On-device LLM Inference Powered by X-Bit Quantization

tiny-training

On-Device Training Under 256KB Memory [NeurIPS'22]

tinychat-tutorial

tinychatengine

TinyChatEngine: On-Device LLM Inference Library

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

tinyml-cam

Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'

tinyml-examples

Collection of TinyML benchmark NN models (in the making)

tinyml-papers-and-projects

This is a list of interesting papers and projects about TinyML.

utensor

TinyML AI inference library