Skip to main content

Collection of pre-trained models, compatible with any backend framework

Project description

https://github.com/ivy-dl/models/blob/master/docs/partial_source/logos/logo.png?raw=true

Off-the-shelf models for a variety of domains.

https://github.com/ivy-dl/ivy-dl.github.io/blob/master/img/externally_linked/logos/supported/frameworks.png?raw=true

Ivy Libraries

There are a host of derived libraries written in Ivy, in the areas of mechanics, 3D vision, robotics, gym environments, neural memory, pre-trained models + implementations, and builder tools with trainers, data loaders and more. Click on the icons below to learn more!

https://github.com/ivy-dl/ivy-dl.github.io/blob/master/img/externally_linked/ivy_libraries.png?raw=true

Citation

@article{lenton2021ivy,
  title={Ivy: Unified Machine Learning for Inter-Framework Portability},
  author={Lenton, Daniel and Pardo, Fabio and Falck, Fabian and James, Stephen and Clark, Ronald},
  journal={arXiv preprint arXiv:2102.02886},
  year={2021}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ivy-models-1.1.9.tar.gz (11.1 kB view hashes)

Uploaded Source

Built Distribution

ivy_models-1.1.9-py3-none-any.whl (9.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page