Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/sparks-baird/xtal2png
Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.
https://github.com/sparks-baird/xtal2png
crystallography image-processing machine-learning materials-informatics materials-science python
Last synced: 3 months ago
JSON representation
Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.
- Host: GitHub
- URL: https://github.com/sparks-baird/xtal2png
- Owner: sparks-baird
- License: mit
- Created: 2022-05-20T19:01:34.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-04T00:53:43.000Z (about 1 year ago)
- Last Synced: 2024-07-12T07:24:17.017Z (4 months ago)
- Topics: crystallography, image-processing, machine-learning, materials-informatics, materials-science, python
- Language: Python
- Homepage: https://xtal2png.readthedocs.io/
- Size: 21.2 MB
- Stars: 34
- Watchers: 3
- Forks: 3
- Open Issues: 29
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-materials-informatics - xtal2png - **Python** package for invertibly representing crystal structures as PNG images for screening state-of-the-art image-processing generative models. [![Github Stars](https://img.shields.io/github/stars/sparks-baird/xtal2png?style=social)](https://github.com/sparks-baird/xtal2png) (Software and products)