Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK.

A lightweight header-only library for using Keras (TensorFlow) models in C++.

The Fastest Deep Reinforcement Learning Library

vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

Spying on Microcontrollers using Current Sensing and embedded TinyML models

Tiny Machine Learning Snoring Detection Model for Embedded devices - Adriana Rotaru

This repository holds the Arduino Library for the EdX TinyML Specialization

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

A scheme for privacy-preserving learning on Tiny Devices.

Magic Wand using ESPectro32 or other ESP32 boards, powered by TensorFlow Lite for Microcontrollers and PlatformIO

Export and run tensorflow models on arduino microcontrollers!

Code for IEEE Internet Computing Journal paper 'OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices'

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables

tinyml library for Arduino

This is the open-source version of TinyTS. The code is dirty so far. We may clean the code in the future.

My capstone project explores machine learning, hardware, and web development to create a smart home system for monitoring the health of homebound patients suffering from sleep apnea. The system includes data collection through sensors, embedded ML (TinyML) to analyze data, and web development for creating a medical dashboard.

Speech Emotion Recognition using TinyML

Detect and identify different species of harmful algae within natural water in real-time with AI and a camera (i.e., ESP32-CAM, smartphone, or webcam).

Sleep state prediction in embedded systems based on sensor data.

Tinymind is a Neural Network and Machine Learning project intended to provide a C++ template library for neural nets and machine learning algorithms within embedded systems.