A reverse-mode automatic differentiation engine written in Haskell, inspired by micrograd. Supports scalar and tensor operations with a neural network module, demonstrated by training an MLP to learn XOR.

cabal build
cabal run haskgrad

Change the seed in Main.hs to get different results.

  rng <- mkRNG [SEED]

• base ^>=4.18.3.0
• containers