awesome-ndt
github.com/kroobose/awesome-ndt ↗A collection of AWESOME things about ML for non-destructive testing
8
GitHub Stars
62
Curated Resources
12
Categories
18 hours ago
Last Refreshed
SurveySupervised LearningUnsupervised LearningImage GenerationDomain AdaptationData AugmentationFederated LearningBayesian inferenceSimulationSuper Resolutiondenoising techniquePhysics Informed Neural Network
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me classification resources from awesome-ndt"
Installation instructions →What's inside
Physics Informed Neural Network
Supervised Learning
- [April 2019]Classification
- [April 2020]Classification
- [April 2020]Segmentation
- [April 2021]Classification
- [April 2021]Classification
- [April 2022]Classification
denoising technique
Domain Adaptation
Unsupervised Learning
- [August 2022]Anomaly Detection
- [December 2021]Dimension Reduction
- [December 2022]Anomaly Detection
- [February 2022]Anomaly Detection
- [May 2019]Dimension Reduction
- [May 2022]Metric Learning
Image Generation
Simulation
Showing a sample of 62 resources. View the full list on GitHub →