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deep-compression

Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

mcunet

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

ml-mcu

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

models

Models and examples built with TensorFlow

my-examples-of-edge-impulse

My examples of using Edge Impulse for machine Learning for High School Students

stm32f407tinyml

TinyML for STM32F407 using different frameworks in C and C++ with Keil uVision IDE.

stm32f746-tflite-micro-mnist

MNIST inference on STM32F746 using TensorFlow Lite for Microcontrollers

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-arduino-examples

TensorFlow Lite Micro examples built in collaboration between Google and Antmicro, runnable in Google Colab and with Renode CI tests

tinymaix

TinyMaix is a tiny inference library for microcontrollers (TinyML).

tinyml

tinyml-benchmark-nns-on-mcus

Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'

tinyml-esp32

This is the TinyML programs for ESP32 according to BlackWalnut Labs Tutorials. (黑胡桃实验室的TinyML教程中的程序集合)

tinyml-on-the-edge

IMU sensors on Arduino Nano 33 BLE Sense can be used in gesture recognition. Using machine learning, a model is trained using the data collected from the IMU sensors on Google Colaboratory. A tensorflow lite model is encoded in arduino header which a classifier sketch uses. They include; accelerometer , gyroscope and magnetometer.

tinyml-papers-and-projects

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

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

unas

μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.

utensor_workshop

building IoT 2019 uTensor workshop