Metadata-Version: 2.1
Name: cryodata
Version: 0.1.0a5
Summary: Cryo-EM data processing tools for deep learning (e.g., cryo-IEF).
Home-page: https://github.com/yanyang1998/cryoief-data
Author: Yang Yan
Author-email: y.yan98@outlook.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9.0
Description-Content-Type: text/markdown
Requires-Dist: accelerate>=1.0.0
Requires-Dist: annoy>=1.17.0
Requires-Dist: asposestorage>=1.0.0
Requires-Dist: cryosparc_tools>=4.4.0
Requires-Dist: lmdb>=1.6.0
Requires-Dist: matplotlib>=3.8.0
Requires-Dist: mrcfile>=1.5.0
Requires-Dist: munkres>=1.1.0
Requires-Dist: natsort>=8.4.0
Requires-Dist: numba>=0.59.0
Requires-Dist: numpy<3.0.0,>=1.1.7
Requires-Dist: pandas>=2.3.0
Requires-Dist: Pillow>=11.2.0
Requires-Dist: pyFFTW>=0.13.0
Requires-Dist: scikit_learn>=1.4.0
Requires-Dist: scipy>=1.15.0
Requires-Dist: seaborn>=0.13.0
Requires-Dist: setuptools>=69.5.0
Requires-Dist: torch>=2.3.0
Requires-Dist: torchvision>=0.18.0
Requires-Dist: tqdm>=4.66.0


# Cryo-EM data processing tools for deep learning (e.g., cryo-IEF)

This repository contains tools for processing cryo-EM data, particularly for training deep learning models like
cryo-IEF. The tools are designed to handle various tasks such as data augmentation, normalization, and preparation of
datasets for training. For more details on implementation and usage, refer to
the [cryo-IEF repository](https://github.com/westlake-repl/Cryo-IEF).
