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

This repository holds the Google Colabs for the EdX TinyML Specialization

This repository holds the Arduino Library for the EdX TinyML Specialization

Collection of STM32 projects making use of Tensorflow Lite Micro

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

Tensorflow Lite Micro is a DL inference framework for microcontrollers based on Google Tensorflow Lite

📦 AI-on-the-Edge Device [SLFork] - Smart AI-on-edge meter digitization based on ESP32 / ESP32S3, upstream core principle with custom enhancements

Learning Path: RISC-V & Advanced Edge AI on SiFive FE310-G002 SoC | 32-bit RISC-V | 320 MHz | 16KB L1 Instruction Cache | 128Mbit (16MB) QSPI Flash | 4-stage pipeline

TensorFlow Lite for Microcontrollers Python package for Raspberry Pi Zero

TensorFlow Lite for BL602

Sleep state prediction in embedded systems based on sensor data.

This repo contains all the necessary files to build a MNIST TinyML application, that works with an OV7670 camera module and TFT LCD module.

A PlatformIO library with the complete and (As of Aug 20, 2023) up-to-date version of Tensorflow Lite for Microcontrollers.

weights of MobileNetV1 and MobileNetV2 trained on greyscale images. supports 96x96 image inputs only. Useful for developing models for Edge devices like Android, IOS and Microcontrollers.

My CSE707 TinyML Mini Project that uses esp32 s3 dev kit to detect composite human activites On-Device (ESP32)

Optical digit recognition using Tensorflow Lite Micro on the NM180100

tflite_micro_runtime for Raspberry Pi Zero

This repository is dedicated to the first tutorial of my YouTube channel.

Deploy a simple MLP model onto ESP32-S3 board and collects metrics