This is an overview page of my notes on differential computing and JAX.

Contents:

1. What is differential computing
2. What automatic differentiation systems exist
3. Where differential computing gets used
4. Differential computing with JAX
5. What makes JAX special
6. Composable program transforms
7. Infinitely Wide Neural Networks

Stuff I've built/done with JAX:

1. jax-unirep
2. Workshop on Differential Learning
3. Estimating a multivariate Gaussian's parameters by gradient descent