Re:Autodidax: Jax Core from Scratch (In Python)
by marcle on Sunday February 12, 2023 @05:39AM
(#34761776)
I find the solutions from https://github.com/qobi/AD-Rosetta-Stone/ to be very helpful, particularly for representing forward and backward mode automatic differentiation using a functional approach.
I used this code as inspiration for a functional-only (without references/pointers) in Mercury: https://github.com/mclements/mercury-ad