Getting started with JAX

Powering the future of high-performance numerical computing and ML research

Pier Paolo Ippolito
Towards Data Science
5 min readJul 7, 2023

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Photo by Lance Asper on Unsplash

Introduction

JAX is a Python library developed by Google to perform high-performance numerical computing on any type of device (CPU, GPU, TPU, etc…). One of the main applications of JAX is Machine Learning and Deep Learning research development, although the…

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