# monai

**Repository Path**: MooreThreads/monai

## Basic Information

- **Project Name**: monai
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-12-19
- **Last Updated**: 2025-12-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<p align="center">
  <img src="https://raw.githubusercontent.com/Project-MONAI/MONAI/dev/docs/images/MONAI-logo-color.png" width="50%" alt='project-monai'>
</p>

**M**edical **O**pen **N**etwork for **AI**

![Supported Python versions](https://raw.githubusercontent.com/Project-MONAI/MONAI/dev/docs/images/python.svg)
[![License](https://img.shields.io/badge/license-Apache%202.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
[![PyPI version](https://badge.fury.io/py/monai.svg)](https://badge.fury.io/py/monai)
[![docker](https://img.shields.io/badge/docker-pull-green.svg?logo=docker&logoColor=white)](https://hub.docker.com/r/projectmonai/monai)
[![conda](https://img.shields.io/conda/vn/conda-forge/monai?color=green)](https://anaconda.org/conda-forge/monai)

[![premerge](https://github.com/Project-MONAI/MONAI/actions/workflows/pythonapp.yml/badge.svg?branch=dev)](https://github.com/Project-MONAI/MONAI/actions/workflows/pythonapp.yml)
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[![Documentation Status](https://readthedocs.org/projects/monai/badge/?version=latest)](https://docs.monai.io/en/latest/)
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[![monai Downloads Last Month](https://assets.piptrends.com/get-last-month-downloads-badge/monai.svg 'monai Downloads Last Month by pip Trends')](https://piptrends.com/package/monai)

MONAI is a [PyTorch](https://pytorch.org/)-based, [open-source](https://github.com/Project-MONAI/MONAI/blob/dev/LICENSE) framework for deep learning in healthcare imaging, part of the [PyTorch Ecosystem](https://pytorch.org/ecosystem/).
Its ambitions are as follows:

- Developing a community of academic, industrial and clinical researchers collaborating on a common foundation;
- Creating state-of-the-art, end-to-end training workflows for healthcare imaging;
- Providing researchers with the optimized and standardized way to create and evaluate deep learning models.

## Introduction

This repsitory is froked from official MONAI with Moore Thread MUSA supported. Current version is MONAI 1.5.0.

For more information, please refer to [Offical README](https://github.com/Project-MONAI/MONAI)

## Setup & Installation
1. Setup from Image
```bash
  To create a public accessable image, and put the cmd here, TBD
```

2. Install from wheel
```bash
  pip install dist/monai-1.5.0-py3-none-any.whl
```

3. Install from source
```bash
  #make sure torch musa etc is well setup
  BUILD_MONAI=1 python setup.py develop
```

## Getting Started

[MedNIST demo](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/main/2d_classification/mednist_tutorial.ipynb) and [MONAI for PyTorch Users](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/main/modules/developer_guide.ipynb) are available on Colab.

Examples and notebook tutorials are located at [Project-MONAI/tutorials](https://github.com/Project-MONAI/tutorials).

Technical documentation is available at [docs.monai.io](https://docs.monai.io).


## Links

- Website: <https://monai.io/>
- API documentation (milestone): <https://docs.monai.io/>
- API documentation (latest dev): <https://docs.monai.io/en/latest/>
- Code: <https://github.com/Project-MONAI/MONAI>
- Project tracker: <https://github.com/Project-MONAI/MONAI/projects>
- Issue tracker: <https://github.com/Project-MONAI/MONAI/issues>
- Wiki: <https://github.com/Project-MONAI/MONAI/wiki>
- Test status: <https://github.com/Project-MONAI/MONAI/actions>
- PyPI package: <https://pypi.org/project/monai/>
- conda-forge: <https://anaconda.org/conda-forge/monai>
- Weekly previews: <https://pypi.org/project/monai-weekly/>
- Docker Hub: <https://hub.docker.com/r/projectmonai/monai>