|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Monai||4,697||42||7 hours ago||71||June 13, 2022||320||apache-2.0||Python|
|AI Toolkit for Healthcare Imaging|
|Docproduct||511||2 years ago||1||June 06, 2019||22||mit||Jupyter Notebook|
|Medical Q&A with Deep Language Models|
|Hi Ml||180||1||2 months ago||14||July 04, 2022||98||mit||Python|
|HI-ML toolbox for deep learning for medical imaging and Azure integration|
|Fuse Med Ml||110||19 days ago||34||apache-2.0||Python|
|A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)|
|Ai_for_healthcare||95||5 years ago||1||Jupyter Notebook|
|This is the code for "AI for Healthcare" By Siraj Raval on Youtube|
|Monai Deploy||83||4 days ago||24||apache-2.0||Shell|
|MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.|
|Monai Deploy App Sdk||71||a month ago||10||April 22, 2022||59||apache-2.0||Jupyter Notebook|
|MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.|
|Generative Ai Pharmacist||58||2 months ago|
|Generative AI Pharmacist (For Demo Purposes Only)|
|Mri Analysis Pytorch||52||5 years ago||1||Jupyter Notebook|
|MRI analysis using PyTorch and MedicalTorch|
|Awesome Healthmetrics||52||7 days ago||mit|
|A curated list of awesome resources at the intersection of healthcare and AI|
Medical Open Network for AI
To install the current release, you can simply run:
pip install monai
Please refer to the installation guide for other installation options.
Examples and notebook tutorials are located at Project-MONAI/tutorials.
Technical documentation is available at docs.monai.io.
If you have used MONAI in your research, please cite us! The citation can be exported from: https://arxiv.org/abs/2211.02701.
The MONAI Model Zoo is a place for researchers and data scientists to share the latest and great models from the community. Utilizing the MONAI Bundle format makes it easy to get started building workflows with MONAI.
For guidance on making a contribution to MONAI, see the contributing guidelines.
Ask and answer questions over on MONAI's GitHub Discussions tab.