deep learning models for

radiology.|robotics.|pathology.|autonomous vehicles.|genomics.|natural language.|dermatology.|agriculture.|mammography.|colonoscopy.|endoscopy.|electrocardiography.|ophthalmology.|pharmacology.

collection

Empowering AI researchers to share fully reproducible and portable model implementations.

Crowdsourced through contributions by the scientific research community, modelhub is a repository of self-contained deep learning models pretrained for a wide variety of applications. Modelhub highlights recent trends in deep learning applications, enables transfer learning approaches, and promotes reproducible science.

Proven methods.

Scientifically Tested

All models are accompanied by peer-reviewed studies published in scientific journals.

All inclusive.

Data Agnostic

Find models for various types of data from 2D and 3D images to audio and video.

Supports all numerical computing backends.

Tool Agnostic

Interchangeable models with pre-/post-processing pipelines and sample data.

Statistical analysis across all models.

Live Meta-analysis

Explore the latest trends, styles, architectures and best practices.

Open access models.

Open-Source

Download fully-documented containers for transfer learning and benchmarking.

Community-sourced.

Contribute today!

Contribute your deep learning model today and retain full rights with the license of your choice.

How it Works

modelhub infrastructure
Select models of the shelf and run them locally.

Contribute

modelhub contribute
Contribute your model to Modelhub.

Sponsors

Modelhub is proudly sponsored by
hms
bwh
dfci
nih
nci

Contact

Send us an email.