xtal2png
Structural encoder
Converts crystal structures to grayscale PNG images for use in machine learning models
Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.
35 stars
3 watching
3 forks
Language: Python
last commit: almost 3 years agoLinked from 1 awesome list
crystallographyimage-processingmachine-learningmaterials-informaticsmaterials-sciencepython
tilde-lab/awesome-materials-informaticsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 stumpycr/stumpy_png | A pure Crystal implementation of PNG image reading and writing. | 106 |
 randy408/libspng | A lightweight PNG image decoder and encoder library with a focus on performance and simplicity. | 749 |
 wvanbergen/chunky_png | A Ruby library for reading and writing PNG images without relying on memory-intensive libraries. | 1,051 |
 hanzhanggit/stackgan | A PyTorch implementation of a generative adversarial network for image synthesis from text descriptions | 1,863 |
 txie-93/cgcnn | An implementation of a deep learning framework to predict material properties from crystal structures. | 672 |
 owenzlz/deepimageblending | A PyTorch implementation of blending images by optimizing a Poisson loss with style and content loss | 435 |
 jangko/nimpng | A PNG image decoder and encoder written in Nim, supporting various color modes and interlaced/non-interlaced modes. | 90 |
 boyuanjiang/context_encoder_pytorch | A PyTorch implementation of a deep learning model for inpainting images using contextual information | 366 |
 pnggroup/libpng | A Portable Network Graphics (PNG) image format implementation with support for compression and decompression. | 1,315 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 toddsundsted/mxnet.cr | Provides bindings for MXNet, an open source deep learning framework written in C++ | 22 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 366 |
 sija/base62.cr | A library that encodes numbers using a compact set of characters (Base62) and provides decoding functionality. | 10 |
 jtomschroeder/crystalline | A collection of algorithms and data structures for use in the Crystal programming language | 127 |