Lightweight inference library for ONNX files, written in C++. It can run SDXL on a RPI Zero 2 but also Mistral 7B on desktops and servers.
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Updated
Jun 19, 2024 - C++
Lightweight inference library for ONNX files, written in C++. It can run SDXL on a RPI Zero 2 but also Mistral 7B on desktops and servers.
A lightweight header-only library for using Keras (TensorFlow) models in C++.
vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Spying on Microcontrollers using Current Sensing and embedded TinyML models
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.
Tiny Machine Learning Snoring Detection Model for Embedded 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!
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
Code for IEEE Internet Computing Journal paper 'OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices'
tinyml library for Arduino
Speech Emotion Recognition using TinyML
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.
Recognize spoken words on device using an Adafruit EdgeBadge and a TinyML model
🤖 Internet Of Things (CCF 351)
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.
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