Ivy: The Unified Machine Learning Framework

me@ryanorban.com (Ryan Orban) — Sun, 07 Aug 2022 00:00:00 +0000

Summary

Ivy is a framework created by Daniel Lenton and the lets-unify.ai team that wraps NumPy, PyTorch, TensorFlow, and JAX under a single unified API. The idea: write your ML code once in Ivy, and it transpiles to whichever backend you need. This attacks a genuine pain point — ML code written in PyTorch can’t run on TPUs (which require JAX or TF), code written in TensorFlow doesn’t compose nicely with the PyTorch-native research ecosystem, and model weights often can’t be shared across frameworks.

Framework-Agnostic on Ryan Orban

Ivy: The Unified Machine Learning Framework

Summary