ari-dasci / OD-MetalDAMLinks
Metallography Dataset from Additive Manufacturing
☆33Updated 4 years ago
Alternatives and similar repositories for OD-MetalDAM
Users that are interested in OD-MetalDAM are comparing it to the libraries listed below
Sorting:
- ☆114Updated last year
- Workflow for Simulation and Automatic Semantic Segmentation of Electron Microscopy Images☆59Updated 8 months ago
- A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materi…☆10Updated 2 years ago
- Neural network for Lithium-ion battery in nanoCT images. For now, only the segmentation module is included.☆33Updated 5 years ago
- Code base for the graph neural network-based polygrain microstructure property prediction project☆46Updated 3 years ago
- Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image co…☆86Updated last year
- ArunBaskaran / Image-Driven-Machine-Learning-Approach-for-Microstructure-Classification-and-Segmentation-Ti-6Al-4V☆19Updated 8 months ago
- Code implementation of the paper "Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning".☆37Updated 3 years ago
- ☆101Updated 3 months ago
- Machine learning model for complex concentrated alloys/high entropy alloys using TensorFlow☆15Updated 4 years ago
- Materials Knowledge System in Python☆118Updated 2 years ago
- An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process☆37Updated 4 years ago
- MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning☆36Updated 3 years ago
- Microstructure Characterization and Reconstruction in Python☆52Updated 7 months ago
- Digital Image Correlation in Python. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S23527110193019…☆14Updated 5 years ago
- Python package to model and to perform topology optimization for graphene kirigami using deep learning☆29Updated 4 years ago
- A GAN based framework for artifacts and noise removal☆36Updated 4 years ago
- Machine Learning approach for Meatallographic purposes☆11Updated 2 years ago
- generate dataset for microlib.io☆15Updated 2 years ago
- Package to use an FCN to learn defects from STEM imaging☆25Updated 2 years ago
- Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.☆175Updated 3 months ago
- The repository for the Physics-Regulated Interpretable Machine Learning Microstructure Evolution (PRIMME) framework for learning and emul…☆17Updated 5 months ago
- TauFactor is a parallelised solver for calculating tortuosity factors from voxel data.☆32Updated 2 weeks ago
- CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN…☆27Updated 4 years ago
- AMCA3D (3D Cellular Automata method for Additive Manufacturing) is a parallel C++ program designed for modeling mesoscale grain structure…☆57Updated 3 years ago
- DeepeR: deep learning enabled Raman spectroscopy☆94Updated last year
- A Python package to work with material microstructures and 3d data sets☆52Updated 2 months ago
- A set of tools for characterizing and analyzing 3D images of porous materials☆367Updated last week
- Public EMsoft repository☆73Updated 8 months ago
- A deep learning and genetic algorithm framework for tailoring the mechanical properties of 3D microstructures☆12Updated 2 years ago