MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
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Updated
Jul 4, 2024 - C++
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
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Lightweight unit testing framework for C/C++ projects. Suitable for embedded devices.
This repository contains libraries for various electronic modules, created by me for different platforms and devices. They are primarily written in C or C++, which allows for easy porting to various platforms.
tinyml library for Arduino
Postponed formatting experiments with string interning in C++. Inspired by the defmt Rust crate
SSD1306-based Monochromatic GUI library for OLED 0.96" inch (128x64 pixels) display in Arduino.
Arduino implementation of Perilib core structure, hardware abstraction, and protocol frameworks
YANG System management for embedded devices running Linux
Development for the 2018 YCP Formula Electric Vehicle
A server/client approach to face recognition. Aims to be fast, secure and iot friendly. Uses dlib.
Depth Estimation for Embedded Devices using USB3.0 stereo camera
Appdynamics IoT C++ SDK to monitor performance of embedded applications on connected devices
Programming ESP266 Node MCU with Arduino IDE
MySensor module to control your cooker/stove with Home Assistant
Abstraction library for lightweight browser development based on chromium using EGL
Accessible caliper project for people with low vision, developed using the Arduino platform.
Scorpion framework for machine learning on embedded devices
My drone I am building w/ raspberry pi (zero).
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