Metadata-Version: 2.1
Name: cryodata
Version: 0.1.0a4
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).
