Hello, datanistas! This month is a special edition dedicated to JAX! It's a Python package built by some friends I made while they were at Harvard's Intelligent and Probabilistic Systems lab, and I was still in grad school. I've been a fan of JAX ever since I started seriously developing array programs that required the use of automatic differentiation. What's up with JAX, you might ask? It's a library that brings automatic differentiation and many other composable program transformations to the NumPy API.
Data Science Programming December 2020 Newsletter
Data Science Programming December 2020…
Data Science Programming December 2020 Newsletter
Hello, datanistas! This month is a special edition dedicated to JAX! It's a Python package built by some friends I made while they were at Harvard's Intelligent and Probabilistic Systems lab, and I was still in grad school. I've been a fan of JAX ever since I started seriously developing array programs that required the use of automatic differentiation. What's up with JAX, you might ask? It's a library that brings automatic differentiation and many other composable program transformations to the NumPy API.