This is the Linux app named IVY whose latest release can be downloaded as TestRelease.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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IVY
DESCRIPTION
Take any code that you'd like to include. For example, an existing TensorFlow model, and some useful functions from both PyTorch and NumPy libraries. Choose any framework for writing your higher-level pipeline, including data loading, distributed training, analytics, logging, visualization etc. Choose any backend framework which should be used under the hood, for running this entire pipeline. Choose the most appropriate device or combination of devices for your needs. DeepMind releases an awesome model on GitHub, written in JAX. We'll use PerceiverIO as an example. Implement the model in PyTorch yourself, spending time and energy ensuring every detail is correct. Otherwise, wait for a PyTorch version to appear on GitHub, among the many re-implementation attempts that appear (a, b, c, d, e, f). Instantly transpile the JAX model to PyTorch. This creates an identical PyTorch equivalent of the original model.
Features
- Choose any framework for writing your higher level pipeline
- Choose any backend framework which should be used under the hood
- Choose the most appropriate device or combination of devices for your needs
- Take any code that you'd like to include
- Add examples
- Ivy can transpile any function in your library to any target framework
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ivy.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
