EngineeringPaper.xyz is a web app that makes it easy to create, save, and share engineering calculations.
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Updated
Jun 16, 2026 - TypeScript
EngineeringPaper.xyz is a web app that makes it easy to create, save, and share engineering calculations.
This repository includes codes for comprehensive tutorials in Control / Robotics Engineering. The link of YouTube video tutorials are mentioned in description.
MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas
This is a graphical user interface for Mark Drela's Athena Vortex Lattice (AVL)
EngineeringPapyr is a standalone PyWebView version of EngineeringPapyer.xyz that makes it easy to create, save, and share engineering calculations.
MATLAB code examples for beginner-friendly quadcopter modelling and PID altitude control.
Scaleable Viva Management System
An interactive sandbox for learning PID control by tuning a differential-drive robot to track a moving centerline.
Files for the project: Real-Time Hands-on Tool for Teaching Three-Phase Motor Control
In this repository you can find a 3D simulation of 3 DOF manipulator (RRR) which is written in Java. There is also a YouTube link for its simulation at the end of repo description.
In this repository you can find Browser-Based simulator for "Four-Bar Linkage Mechanism" which is written in Haskell. There is also a YouTube link for its simulation at the end of repo description.
Standalone EXE version of: EngineeringPaper.xyz is a web app that makes it easy to create, save, and share engineering calculations.
OBE exam question builder with Bloom's taxonomy verification and CO-PO mapping - desktop app for BAETE/Washington Accord accreditation
Reproducible linear-elastic FEA (Finite Element Analysis) workflows from natural-language prompts for beams, plates, and engineering benchmark cases.
基于 MATLAB 的电偶极子与磁偶极子近场分布仿真与三维可视化
五强溪水电站《水利计算》课程设计在线计算系统——兴利/防洪/经济三大计算,单文件网页,打开即用,无需安装环境。
Matriz QFD editable
Beginner-friendly Python tool for visualizing PLC scan cycles, latch logic, and input/output updates.面向初学者的Python工具,用于可视化展示PLC的工作原理
An interactive educational web tool demonstrating the Nyquist-Shannon Sampling Theorem, real-time signal reconstruction, and the effects of aliasing. Built with vanilla JavaScript and Plotly.js.
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