CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
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Updated
Mar 19, 2020 - C
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
TensorFlow Lite C/C++ library for microcontrollers.
Run Machine learning on a microcontroller with an accelerometer sensor to classify different moves with the racket - Forehand, Backhand, Serve, and Idle.
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)
Final Project for Harvard's Tiny Machine Learning Course (CS249R).
TinyML for STM32F407 using different frameworks in C and C++ with Keil uVision IDE.
Car state detection (normal, accident, idle) for RP2040/Pico board, using TinyML and Edge Impulse
An easy guide for Color classification (RGB) using Multilayer Perceptron (MLP) Neural Networks with Arduino
Sound event detection demo with Edge Impulse and the SAME54 Curiosity Ultra board
Keyword spotter demo with Edge Impulse and the SAME54 Curiosity Ultra board
A fun TinyML project exploring Digit Recognition by tracking the pen's motion!
Code for IoT paper 'Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices'
Testing TinyML by recognizing if Arduino 33 Sense is Stationary or in an Up-Down Motion
TinyML Use STM32L432KC X-CUBE-AI
Gesture recognition demo with SensiML and the SAMD21 ML Evaluation Kit
Code for AAAI poster 'Training up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm'
This repository contains a modified version of the EloquentTinyML library for the ESP8266.
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