# CSBDeep

**Repository Path**: zongfang/CSBDeep

## Basic Information

- **Project Name**: CSBDeep
- **Description**: CARE的源代码，导入码云方便墙内下载
- **Primary Language**: Python
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-03-22
- **Last Updated**: 2022-03-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

[![PyPI version](https://badge.fury.io/py/csbdeep.svg)](https://pypi.org/project/csbdeep)
[![Test](https://github.com/CSBDeep/CSBDeep/workflows/Test/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3ATest)
[![Test (PyPI)](https://github.com/CSBDeep/CSBDeep/workflows/Test%20(PyPI)/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28PyPI%29%22)
[![Test (Legacy)](https://github.com/CSBDeep/CSBDeep/workflows/Test%20(Legacy)/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28Legacy%29%22)

# CSBDeep – a toolbox for CARE

This is the CSBDeep Python package, which provides a toolbox for content-aware restoration of fluorescence microscopy images (CARE), based on deep learning via Keras and TensorFlow.

Please see the documentation at http://csbdeep.bioimagecomputing.com/doc/.