codehgq

codehgq's Stars

• windingwind/zotero-pdf-translate

  Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

  Language:TypeScript6.9k335

• redleafnew/zotero-updateifsE

  Green Frog https://github.com/redleafnew/zotero-updateifs 的easyScholar数据版。更新影响因子，其他一系列工具，详见Readme

  Language:TypeScript65922

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.4k4.1k

• qcraftai/simtrack

  Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)

  Language:Python16731

• autodriving-heart/Awesome-Autonomous-Driving

  awesome-autonomous-driving

  61369

• codehgq/awesome-multiple-object-tracking

  Resources for Multiple Object Tracking (MOT)

  1

• yizzfz/MiliPoint

  A point cloud dataset for mmWave radar human activity recognition.

  Language:Python523

• open-mmlab/OpenMMLabCourse

  OpenMMLab course index and stuff

  Language:Jupyter Notebook1k124

• Xiangyu-Gao/mmWave-radar-signal-processing-and-microDoppler-classification

  Codes and template data for paper "Experiments with mmWave Automotive Radar Test-bed"

  Language:MATLAB26662

• radar-lab/mmfall

  mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder

  Language:Jupyter Notebook10036

• makelove/OpenCV-Python-Tutorial

  OpenCV问答群不再维护。有问题，自己去搜索。Google能找到大部分答案。

  Language:Python3.3k1.1k

• xljiulang/Paho.MqttDotnet

  A .Net wrapper for eclipse/paho.mqtt.c

  Language:C#4315

• dotnet/MQTTnet

  MQTTnet is a high performance .NET library for MQTT based communication. It provides a MQTT client and a MQTT server (broker). The implementation is based on the documentation from http://mqtt.org/.

  Language:C#4.4k1.1k

• jh-isw/WpfMqttClient

  Generic MQTT Client using WPF and MQTTnet

  Language:C#31

• HeBianGu/WPF-ScreenData

  WPF制作的可视化大屏显示示例

  Language:C#8453

• zmrbak/WpfClassicalExamples

  腾讯课堂《WPF经典编程实例》示例代码

  Language:C#3433

• hussien89aa/AndroidTutorialForBeginners

  Step by step to build Android apps using Android Studio

  Language:Java4.4k6.1k

• ruanwenjun/JAVAWeb-Project

  初学JAVA-WEB开发的小项目:sparkling_heart:

  Language:JavaScript816602

• idle147/server_for_360

  本项目是一个行车记录仪的服务端，用vs、C++语言编写，在 Linux 环境下运行。实现服务器的【数据交互】【文件传输】【安全通信】等功能。

  Language:C++122

• zhayujie/chatgpt-on-wechat

  基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT4.0/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

  Language:Python29.7k7.9k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python63.7k7.9k

• qiuwenhui/PID_MATLAB_Learn

  先进PID控制MATLAB仿真 (4th） MATLAB PID算法 仿真 学习

  Language:MATLAB7923

• PGomes92/pyhrv

  Python toolbox for Heart Rate Variability

  Language:Python26377

• FranHawk/simplefoc_balance_car

  balance car use ESP32 and BLDC drived by simplefoc

  Language:C++6314

• codehgq/WXAPP-RunData

  此项目使用微信步数数据，展示阶段性运动步数趋势。用户可以随时上传运动图片和分享文字，并可以参与运动排行榜，与全网所有用户一起排名。 参与排行榜后，用户的图片和分享文字可以被其他人看到，其他人可以给赞。

  1

• wutingkang/IOTEWebManagementPlatform

  一个物联网设备 Web 管理平台

  Language:Python158

• RiceChen/Balance_Car

  平衡车的软硬件制作（上位机，微信小程序，硬件，算法）

  Language:C175

• shuai132/BalanceCar

  平衡小车源码 包含完整的Android、STM32和PCB工程以及文档

  Language:C17157

• DANSI/blynk-server-original

  Blynk is an Internet of Things Platform aimed to simplify building mobile and web applications for the Internet of Things. Easily connect 400+ hardware models like Arduino, ESP8266, ESP32, Raspberry Pi and similar MCUs and drag-n-drop IOT mobile apps for iOS and Android in 5 minutes

  Language:Java860

• vidhipitroda/Patient-Health-Monitoring-System-IoT-Based

  In IOT based monitoring project designed for keep on time track on the health status of the patient and updating to doctor at remote location anytime. With this effective device, health status of a critically ill patient can be constantly monitored. It can be used to keep track of health of aged people who frequently have heart or blood pressure issues. The IoT project developed here is built on Arduino UNO. It is interfaced with ESP8266 Wi-Fi modem to connect with an internet router and access the cloud server. The Arduino is interfaced with LM-35 temperature sensor to sense the body temperature and a pulse sensor to read pulse rate It continuously monitors the pulse rate and body temperature and updates them to an IoT platform. If any abnormalities are detected then system immediately sends notification to doctor. The IoT platform used in this project is ThingSpeak. Thingspeak has capabilities for Visualizing the collected data in the form of charts, Ability to create apps for collaborating with web services or social network and other APIs. The data from ThingSpeak to android application will send by HTTP request and HTTP response protocol. A threshold value is being set for pulse rate and body temperature. In android application there will be separate login credentials for patient and doctor. When the doctor will login, list of patients will be displayed along with two tags Patient Details and Health Status. In health status data from the Thingspeak will be fetched, doctor can check the medicine that the patient is consuming and can update is depending upon the health status. The patient can check the health status and medicine list and can also update details accordingly. Such a system consist of physiological data that stores, process and communicate through a local manner such as smart phones by using the system the health care professionals can monitor and advice their patient all the time.

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