#Manufacturing
Showing 16 of 16 repositories tagged #manufacturing, ranked by stars
Free and Open Source Enterprise Resource Planning (ERP)
We do Open Source ERP - Fast, Flexible & Free Software to scale your Business.
Carbon is an open source ERP, MES and QMS for manufacturing. Perfect for complex assembly, contract manufacturing, and configure to order manufacturing.
Unlocking the Full Potential of OPC UA with Typescript and NodeJS - http://node-opcua.github.io/
Production-Grade ML System for Automated Unit of Measure Error Detection | 88-92% Accuracy | 94% Autonomy | KNIME Workflow
A curated list of awesome supply chain blogs, podcasts, standards, projects, and examples.
Ultralytics Notebooks ๐
[ICRA 2024] ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility
Data Science in Manufacturing ่ฃฝ้ ่ณๆ็งๅญธ
I have built the computer vision models in 3 different ways addressing different personas, because not all companies will have a resolute data science team. quality-control manufacturing big-data-analytics jupyter-notebook cognitive services industry solutions
Bucketize an image based on exhaust data and AI generated data. industry-solutions azure azure machine learning services computer-vision big data big data analytics machine learning image recognition manufacturing quality control cognitive services
This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted surface, inclusion and scratches. A CNN is trained on the NEU Metal Surface Defects Database which contains 1800 grayscale images with 300 samples of each of the six different kinds of surface defects.
Official implementation of Neural Lithography (SIGGRAPH Asia 2023)
modular, service-oriented CAD
Python based web application to import, connect and analyze manufacturing data from multiple data sources.
This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.