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22 search results found

Cs Video Courses ⭐ 62,887

List of Computer Science courses with video lectures.

Cvprojects ⭐ 1,827

computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）

Tinyml Papers And Projects ⭐ 566

This is a list of interesting papers and projects about TinyML.

Libonnx ⭐ 451

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Emlearn ⭐ 327

Machine Learning inference engine for Microcontrollers and Embedded devices

Ccontrol ⭐ 190

Using advanced control techniques in an easy way for embedded - No theory, only practice

Kloncentaur ⭐ 160

Digital emulation of the Klon Centaur guitar pedal using RNNs, Wave Digital Filters, and more

Embeddedml ⭐ 142

Notes on Machine Learning on edge for embedded/sensor/IoT uses

Nyumaya_audio_recognition ⭐ 74

Classify audio with neural nets on embedded systems like the Raspberry Pi

A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms

Currentsense Tinyml ⭐ 43

Spying on Microcontrollers using Current Sensing and embedded TinyML models

Flutteriot ⭐ 40

Visit our website for more Mobile and Web applications

Embeddedml ⭐ 24

《AI嵌入式系统——算法优化与实现》软件工具、例程及教学辅助材料

Risc Handbook ⭐ 22

This handbook has been compiled to help beginners in the field of robotics

Emlearn Micropython ⭐ 17

Efficient Machine Learning engine for MicroPython

Embedded.ai ⭐ 17

Repository for DCA0306, an undergraduate course about Embedded Artifical Intelligence

Neural network for embedded systems

A tool to support using classification models in low-power and microcontroller-based embedded systems.

All the homeworks, testers and projects done at METU-CENG

Animal Sounds Embedded Classifier ⭐ 9

Area : Combination of machine learning and embedded hardware design Tools used: Raspberry Pi, Microphone, numpy, Scipy, Wi-fi Module We (team of 4) developed a prototype of a embedded application which could be fitted on a safari vehicle. When the safari goes in the jungle for a ride, if it detects sound, it takes a short sample and tries to classify it according to a pre-trained prediction model. The machine learning algorithm used was random forest. We were successfully able to train the model

Ai Edge Computing Tiny Embedded ⭐ 6

Embedded Classification Software Toolbox

Micro Learn ⭐ 5

A Practical Machine Learning Library for Arduino and Other Microcontrollers

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