GitHub

Simple M/M/s queuing model: Python DES RAP

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...
YouTube on MSN

Must-try 3D AI platform (Meshy 5 tutorial)

Sponsored by Meshy. Unlock the fastest path from idea to 3D model with Meshy AI 5! In this Blue Lighting tutorial, we walk ...
Plant Services

Case study: AI-powered 3D maintenance solution for Joint Light Tactical Vehicle fleet increases uptime and sustainability

Digital twins, augmented reality, and predictive intelligence together shorten troubleshooting time as much as 50% and reduce ...
IEEE

Computational Guidance Using Model Predictive Static Programming for Challenging Space Missions: An Introductory Tutorial with Example Scenarios

Abstract: Several essential services, such as cellular phones, the Internet, television, navigation, weather prediction, and remote sensing, rely on satellites in low-Earth orbits, the technology for ...
IEEE

Open-Vocabulary 3D Semantic Segmentation with Foundation Models

Abstract: In dynamic 3D environments, the ability to recognize a diverse range of objects without the constraints of predefined categories is indispensable for real-world applications. In response to ...
Hosted on MSN

DIY animatronic 3D printed mouth using Arduino and Python

Here's the assembly instructions for my 3D printed Arduino / Python controlled animatronic mouth! #animatronics #arduino #3dprinting #python #robotics #makerproject #diyrobot #mechanism ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...