Topic: "manufacturing-intelligence"
djene-mengistu/dseg_models
This repo contains implementation of deep learning-based steel surface defect segmentation models. Extensive experiments on several deep learning frameworks have been presented with various performance analysis and comparison.
Language: Python - Size: 13.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 16 - Forks: 2
Davidlequnchen/VLM-CADFeatureRecognition
This repository provides code and resources for automating manufacturing feature recognition in CAD designs using vision-language models.
Language: Jupyter Notebook - Size: 177 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 10 - Forks: 4
attarmau/AnomGuard
An image anomaly detection model for B2B sensor products
Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
sourceduty/Chinese_Manufacturing
🐉 Chinese manufacturing quality, design and compatibility.
Size: 39.1 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
sourceduty/Manufacturing
🏭 Making goods using equipment, labor, machines, tools, and chemical or biological methods.
Size: 51.8 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
ahmedlrashed/teststand-kpi-dashboard
As a follow-up to our TestStand ETL, we develop an interactive dashboard using Power BI to uncover process trends and statistical control metrics.
Size: 8.41 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
vikas-py/vikas-py.github.io
Markdown blog
Size: 15.6 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Soujanya0506/JobA_Project
A collection of all the projects I have worked till now. As per the data compliance and NDA, I will share an alternate code with dummy data instead. I would like to credit my mentor, Kumagai-san, Zhao-san & Iizuka-san who suggested me alternate methods and have contributed to my overall understanding.
Language: Jupyter Notebook - Size: 27.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
vigneashpandiyan/Additive-Manufacturing-Multi-Material-Composition-Monitoring-Using-Sensor-Fusion
Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process
Language: Python - Size: 693 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
