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Build custom Ivy training pipelines for any deep learning framework with clear, hierarchical and robust user specifications

Home Page: https://lets-unify.ai

License: Apache License 2.0

Shell 1.03% Python 98.11% Dockerfile 0.86%

builder's Introduction

https://github.com/unifyai/unifyai.github.io/blob/master/img/externally_linked/logo.png?raw=true#gh-light-mode-only

https://github.com/unifyai/unifyai.github.io/blob/master/img/externally_linked/logo_dark.png?raw=true#gh-dark-mode-only



Build custom Ivy training tasks with clear, hierarchical and robust user specifications.


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!


Citation

@article{lenton2021ivy,
  title={Ivy: Templated deep 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}
}

builder's People

Contributors

djl11 avatar juliagsy avatar saeedashrraf avatar kareemmax avatar vedpatwardhan avatar mattbarrett98 avatar ivy-branch avatar aarsh2001 avatar bipinkrishnan avatar kurshakuz avatar

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