THE PYTORCH DEVELOPER'S GUIDE TO JAX FUNDAMENTALS

Summary from the TLDR newsletter

JAX is a high-performance numerical computing library with a NumPy-like API. While many PyTorch users have heard about JAX, there are not that many straightforward, easy-to-follow tutorials. This tutorial helps readers understand the basics of JAX by connecting its concepts to PyTorch building blocks. It explores the basics of the JAX ecosystem from the PyTorch user and guides users through how to train a simple neural network with JAX and PyTorch.