IVY: An Open-Source Tool To Make Deep Learning Code Compatible Across Frameworks

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/deeplearning

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  • ivy

    The Unified Machine Learning Framework

    As ML aficionados, we’ve all come across interesting projects on GitHub only to discover that they are not in the framework we want and are familiar with. It can be tedious at times to reimplement the whole codebase in our framework, let alone deal with any errors that may arise throughout the process. It is a tedious chore that no one wants to do. Isn’t it good to have something that doesn’t care what framework you’re using? It will provide you with code in your desired framework, whether it is JAX, PyTorch, MXNet, Numpy, or TensorFlow. This is what IVY is attempting to do by unifying all ML frameworks.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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