Arduino library that ports TensorFlow Lite Micro to the ESP32-S3. Provides a very basic API for abstracting some of the TFLite c-specific references and nuances. Uses optimised ESP-NN functions, includes three examples, pre-compiled for speedy compilation of sketches.
A lightweight Python package optimized for integrating exported models from Google's Teachable Machine Platform into robotics and embedded systems environments. This streamlined version of Teachable Machine Package is specifically designed for resource-constrained devices, making it easier to deploy and use your trained models in embedded apps.
A fitness tracker for the Arduino Nano 33 BLE Sense. Built using Tensorflow Lite for Microcontrollers, P5.js, P5.ble.js and standard web technologies(HTML, CSS, JavaScript).
A lightweight machine learning model for health monitoring using heart rate and SpO2 data
Keyword spotting on STM32 with tensorflow lite
Master's Thesis: "Acoustic Identification of Wood-Boring Insects with TinyML".
This repo contains all the necessary files to build a 3D Unity Game integrated with an TinyML controller
EEGnet on a microcontroller
TinyML tools for and with WandB
Sign Language Detection on Arduino Nano 33 BLE Sense
To associate your repository with the tensorflowlite-for-microcontrollers topic, visit your repo's landing page and select "manage topics."