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
Magic Wand using ESPectro32 or other ESP32 boards, powered by TensorFlow Lite for Microcontrollers and PlatformIO
Motor Activity Detection using TensorFlow Lite on Arduino Nano 33 BLE board
The TinyML "Hello World" sine wave model on Arduino Uno v3
TinyML stuff done on my Arduino Nano 33 BLE Sense
TFLite applications: Optimized .tflite models (i.e. lightweight and low latency) and code to run directly on your Microcontroller!
TensorFlow Lite C/C++ library for microcontrollers.
Remote Physiotherapy System made using LoRa & ML
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)
Embedded playground base on nrf52840-customer-board. Zephyr, tensorflow lite micro, and so on.
Recognize spoken words on device using an Adafruit EdgeBadge and a TinyML model
Tiny Machine Learning Snoring Detection Model for Embedded devices
Final Project for Harvard's Tiny Machine Learning Course (CS249R).
TensorFlow Lite models for MIRNet for low-light image enhancement.
Gesture recognition on @RAKWireless WisBlock using Accelerometer sensor and @edgeimpulse and @tensorflow Lite Micro.
Low-Power Cellular based Asset Tracking solution made using @blues hardware and @edgeimpulse.
TinyML for STM32F407 using different frameworks in C and C++ with Keil uVision IDE.
Repo with Tensorflow lite for MCUs example code modified to work with Teensy 4.0
Car state detection (normal, accident, idle) for RP2040/Pico board, using TinyML and Edge Impulse
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