Metadata-Version: 2.1
Name: photonai-neuro
Version: 0.2.0
Summary: UNKNOWN
Home-page: https://www.photon-ai.com/
Author: PHOTONAI Team
Author-email: hahnt@uni-muenster.de
License: GPLv3
Download-URL: https://pypi.org/project/photonai_neuro/#files
Project-URL: Source Code, https://github.com/wwu-mmll/photonai_neuro
Project-URL: Bug Tracker, https://github.com/wwu-mmll/photonai_neuro/issues
Keywords: machine learning,neuroimaging,MRI
Platform: UNKNOWN
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
License-File: LICENSE

[![PHOTONAI_neuro tests + TestPyPI deployment @master](https://github.com/wwu-mmll/photonai_neuro/actions/workflows/python-test.yml/badge.svg)](https://github.com/wwu-mmll/photonai_neuro/actions/workflows/python-test.yml)
[![Coverage Status](https://coveralls.io/repos/github/wwu-mmll/photonai_neuro/badge.svg?branch=master)](https://coveralls.io/github/wwu-mmll/photonai_neuro?branch=master)
[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=wwu-mmll_photonai_neuro&metric=alert_status)](https://sonarcloud.io/summary/new_code?id=wwu-mmll_photonai_neuro)
![GitHub](https://img.shields.io/github/license/wwu-mmll/photonai_neuro)
[![Twitter URL](https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Ftwitter.com%2Fwwu_mmll)](https://twitter.com/wwu_mmll)
# PHOTONAI Neuro
PHOTONAI Neuro is an add-on module to simplify machine learning analyses for multimodal Magnetic Resonance Imaging (MRI) 
with PHOTONAI.
Overall, this module combines the functionality of the famous [Nilearn](https://nilearn.github.io) package
with the pipeline structure of [PHOTONAI](https://photon-ai.com).

## Project setup
Install the latest version directly via pip:
```
pip install photonai-neuro
```

## Features

- Easy access to common brain masks and atlases.
- Simple syntax for building neuro-pipelines.
- All PHOTONAI advantages like hyperparemter optimization, model sharing, results visualization, and much more.



