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Awesome-Embeded-AI

收集关于嵌入式领域的机器学习算法实现的进展、相关论文和文章、开发库等，帮助初学者快速了解、学习和入门嵌入式领域的机器学习。CC-BY-NC-SA 4.0。
https://github.com/Staok/Awesome-Embeded-AI

Last synced: 4 days ago
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微控制器 MCU 端
- ST X-Cube-AI
- TinyML Projects
- Awesome-Embedded Repository
  - nnom - A higher-level Neural Network library for microcontrollers.
  - nn4mp
  - kann - A lightweight C library for artificial neural networks
  - uTensor - AI inference library based on mbed (an RTOS for ARM chipsets) and TensorFlow.
  - nhivp/Awesome-Embedded: A curated list of awesome embedded programming. (github.com)
  - Embedded Learning Library (ELL) - Microsoft's library to deploy intelligent machine-learned models onto resource constrained platforms and small single-board computers.
  - EmbededAI - A library that provides elements of AI to C++ applications.
  - Qualcomm Neural Processing SDK for AI - Libraries to developers run NN models on Snapdragon mobile platforms taking advantage of the CPU, GPU and/or DSP.
  - Qualcomm Neural Processing SDK for AI - Libraries to developers run NN models on Snapdragon mobile platforms taking advantage of the CPU, GPU and/or DSP.
- Kendryte K210
  - Github 仓库-Awesome-K210
  - 嘉楠科技公司 - creative.com/product/kendryteai)，来实现目标检测与追踪，为Vision_MAV项目提供一个可选的视觉解决方案。该项目采用了一块[矽速科技公司](https://www.sipeed.com/)生产的MAXI DOCK K210评估板，来验证K210芯片的AI计算能力。在本项目中，采用传统机器视觉方法实现了最大色块识别、二维码识别、Apriltag码识别、圆形识别，采用深度学习方法实现了人脸识别、人体识别、口罩识别等，并开发了K210和[Ardupilot](https://github.com/ArduPilot/ardupilot)飞控固件之间的[MAVlink](https://github.com/ArduPilot/mavlink)通讯接口，来实时的将K210视觉模组解算出的目标位置信息发送给飞控来控制无人机运动。
- - 人工智能的下一轮革命？关于TinyML的一切 - 知乎 (zhihu.com)
- Edge Impulse
  - Edge Impulse API - Edge Impulse API
  - C++ library - Edge Impulse Documentation
  - On your Espressif ESP-EYE (ESP32) development board - Edge Impulse Documentation
  - On your Espressif ESP-EYE (ESP32) development board - Edge Impulse Documentation
  - esp8266-esp32-development/ESP-IDF-IDE编程 at master · Staok/esp8266-esp32-development (github.com) - IDF-IDE编程 · 瞰百/esp8266-esp32-development - 码云 - 开源中国 (gitee.com)](https://gitee.com/staok/esp8266-esp32-development/tree/master/ESP-IDF-IDE编程)。
  - C++ library - Edge Impulse Documentation
  - 零基础的嵌入式机器学习：Edge Impulse训练模型移植STM32F407ZGT6实例_方恪的博客-CSDN博客_stm32运行训练好的模型
  - TinyML ESP32-CAM: Edge Image classification with Edge Impulse (survivingwithandroid.com)
  - 官网 Getting Started 手册的步骤
  - 零基础的嵌入式机器学习：Edge Impulse使用教程之训练模型浅析(2)——回归(预测)模型_方恪的博客-CSDN博客
  - 使用 Edge Impulse 在 ESP32 上运行机器学习算法 - 知乎 (zhihu.com) - hans/news/ESP32_EdgeImpulse?position=5&list=zxpdcK3NOKbbbxj_ypHZpjgl6d1eLQ-Et_ESte4r-us)。
  - 零基础的嵌入式机器学习：Edge Impulse使用教程之训练模型浅析(1)——分类模型_方恪的博客-CSDN博客
  - edgeimpulse/firmware-espressif-esp32: Edge Impulse firmware for the Espressif ESP-EYE(ESP32) Development board (github.com)
- CMSIS-NN / IQmath
  - 安富莱的 CMSIS-NN 开源教程和例程（暂时还没出）
  - **CMSIS-DSP** - M processor cores. CMSIS-DSP is widely used in the industry and enables also optimized C code generation from [MATLAB®](https://www.mathworks.com/hardware-support/arm-cortex-m-cmsis.html). The [ASN Filter Designer](https://www2.keil.com/mdk5/cmsis/asnfd) generates CMSIS-DSP code that you can directly use in your application.
  - 安富莱的硬汉嵌入式论坛 - DSP 开源教程和例程](http://www.armbbs.cn/forum.php?mod=viewthread&tid=94547)；[CMSIS-DSP 官方例子（Github）](https://github.com/ARM-software/CMSIS_5/tree/develop/CMSIS/DSP/Examples/ARM)。
  - TI的32位定点DSP库IQmath在H7和F4上的移植和使用 - STM32H7 - 硬汉嵌入式论坛 - Powered by Discuz! (armbbs.cn)
  - CMSIS-NN 官方 Github 仓库，包含手册、例程等
  - CMSIS 的 Github 仓库 - software.github.io/CMSIS_5/General/html/index.html)。
  - **CMSIS-NN** - M processor cores.
- TensorFlowLite
  - 适用于微控制器的 TensorFlow Lite (google.cn)
- 网友自实现的轮子 / 算子库
  - uingrd/EmbeddedML: 《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 (github.com)
  - (BP神经网络C语言实现_一朝英雄拔剑起的博客-CSDN博客_bp神经网络c语言实现
  - BP神经网络及其C语言实现 - 知乎 (zhihu.com) - bpnn: BP神经网络的C语言实现 (github.com)](https://github.com/ThreeClassMrWang/c-bpnn)。
  - sertreet/BPNeuralNetwork: STM32F407ZGT6 Run BP Neural Network Handwritten Digit Recognition (github.com)
微处理器 MPU 端
- ARM Compute Library
- PyArmNN
  - PyArmNN 的 Github 仓库
  - Accelerating ML inference on X-Ray detection at edge using Raspberry Pi with PyArmNN
- MACE
  - zhy520xp/mace-makefile-project: makefile 交叉编译 libmace.a，并能在嵌入式端调用GPU来跑深度学习模型 (github.com)
  - libmace_百度搜索 (baidu.com)
- ARM NN
  - ARM Compute Library - A 优化的神经网络基本算子，可以使用 ARM Compute Library 的 API 直接自己搭建神经网络算法，或者使用在这里介绍的 ARM NN，转化主流神经网络框架训练好的模型并使用。ARM NN 是 ARM 公司在 Cortex-A 嵌入式端 "[AI and Machine Learning](https://developer.arm.com/solutions/machine-learning-on-arm)" 主题的关键项目。
  - ARM NN 官方的在树莓派上使用
  - 被低估的ArmNN（一）如何编译
  - 【树莓派/目标检测】(二)armnn编译
  - ARM-software/armnn: Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn (github.com)

Programming Languages

C++ 7 C 5 Python 3

Ecosyste.ms: Awesome

Awesome-Embeded-AI

微控制器 MCU 端

ST X-Cube-AI

TinyML Projects

Awesome-Embedded Repository

Kendryte K210

Edge Impulse

CMSIS-NN / IQmath

TensorFlowLite

网友自实现的轮子 / 算子库

微处理器 MPU 端

ARM Compute Library

PyArmNN

MACE

ARM NN