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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}
}

Metadata

Release files for ivy-models 1.1.9

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Source distribution for ivy-models 1.1.9
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Table of built distributions (wheels) for ivy-models 1.1.9
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1.1.9 This release

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