SergeiVKalinin / ML-ElectronMicroscopy-2023Links
☆123Updated last year
Alternatives and similar repositories for ML-ElectronMicroscopy-2023
Users that are interested in ML-ElectronMicroscopy-2023 are comparing it to the libraries listed below
Sorting:
- The materials for the Fall ML in Materials course at the UTK MSE☆87Updated last year
- Machine Learning in STEM☆27Updated 5 months ago
- Deep and Machine Learning for Microscopy☆214Updated 4 months ago
- ☆64Updated 11 months ago
- ab initio Transmission Electron Microscopy☆253Updated last week
- Deep and machine learning for atomic-scale and mesoscale data☆12Updated 4 months ago
- The materials for the Spring Mathematics in Materials course at the UTK MSE☆49Updated last year
- Python interface that enables local and remote control of AR SPM with codes☆17Updated 4 months ago
- TEM data quantification library through a model-based approach☆19Updated this week
- Digital Twin Microscope☆17Updated last week
- Things that you should (and should not) do in your Materials Informatics research.☆194Updated last year
- MSE5540/6640 Materials Informatics course at the University of Utah. Learn how data science tools are revolutionizing materials science!☆177Updated 2 months ago
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆126Updated 2 weeks ago
- Data Science for Materials Science☆65Updated 3 weeks ago
- A Highly Opinionated List of Open Source Materials Informatics Resources☆141Updated 3 years ago
- Materials for "AI for Atoms: How to Machine Learn STEM" Workshop☆19Updated 4 years ago
- Deep learning framework for atomistic image data☆34Updated 2 months ago
- AI-based analytical tools for the analysis of STEM images.☆11Updated last year
- Sample code for py4DSTEM☆56Updated 5 months ago
- Materials science with Python at the atomic-scale☆222Updated this week
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆38Updated 3 years ago
- Jupyter notebooks describing data analysis procedures for my published/submitted papers☆14Updated 4 years ago
- ☆108Updated 2 months ago
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆85Updated 5 months ago
- This repository is no longer maintained. For the latest updates and continued development, please visit: https://github.com/atomgptlab/ja…☆92Updated 3 months ago
- A Python module for fast computation of 2D and 3D radial distribution functions (RDFs).☆31Updated last year
- ☆245Updated last month
- The Materials Project Workshop Curriculum☆116Updated 2 years ago
- Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.☆61Updated this week
- Code to help you get started using machine learning in materials science☆17Updated 6 years ago