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  • Technical University of Munich
  • Munich

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  1. Automatic Differentiation in 38 line... Automatic Differentiation in 38 lines of Haskell using Operator Overloading and Dual Numbers. Inspired by conal.net/papers/beautiful-differentiation
    1
    {-# LANGUAGE TypeSynonymInstances #-}
    2
    data Dual d = D Float d deriving Show
    3
    type Float' = Float
    4
    
                  
    5
    diff :: (Dual Float' -> Dual Float') -> Float -> Float'
  2. haskell-mnist haskell-mnist Public

    A handwritten digit classifier neural network trained on the MNIST dataset. Written from scratch in Haskell.

    Haskell 2

  3. smallsock smallsock Public

    A small IPv4 TCP socket based HTTP server

    C

  4. CAMPP CAMPP Public

    Jupyter Notebook