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@Functional-AutoDiff Functional Automatic Differentiation

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    9 repositories

    • STALINGRAD

      Public
      Stalin∇, a brutally optimizing compiler for the VLAD language
      Scheme
      •5•72•2•0•Updated Feb 22, 2018Feb 22, 2018

    • DiffSharp

      Public
      DiffSharp: Differentiable Functional Programming
      F#
      •
      GNU General Public License v3.0
      •67•2•0•0•Updated Sep 21, 2017Sep 21, 2017

    • ReverseAD

      Public
      Evaluating high order derivative tensors directly via reverse mode AD in Cpp.
      C++
      •
      GNU Lesser General Public License v3.0
      •4•0•0•0•Updated May 11, 2017May 11, 2017

    • ad

      Public
      Automatic Differentiation
      Haskell
      •
      BSD 3-Clause "New" or "Revised" License
      •73•0•0•0•Updated Feb 9, 2017Feb 9, 2017

    • autograd

      Public
      Efficiently computes derivatives of numpy code.
      Python
      •
      MIT License
      •915•1•0•0•Updated Dec 13, 2016Dec 13, 2016

    • AutoDiff

      Public
      Code snippets accompanying the talk "Automatic Differentiation in Haskell."
      Haskell
      •
      GNU General Public License v3.0
      •6•2•0•0•Updated Dec 4, 2016Dec 4, 2016

    • dysvunctional-language

      Public
      Running the code you want to write as fast as the code you have to write
      Scheme
      •
      GNU Affero General Public License v3.0
      •5•3•0•0•Updated Oct 27, 2016Oct 27, 2016

    • R6RS-AD

      Public
      Forward and Reverse Mode Automatic Differentiation (AD) in R6RS Scheme plus extensions to support nondeterministic and stochastic programming
      Scheme
      •
      GNU General Public License v2.0
      •6•1•0•0•Updated Sep 29, 2016Sep 29, 2016

    • Hype

      Public
      Hype: Compositional Machine Learning and Hyperparameter Optimization
      F#
      •
      MIT License
      •27•0•0•0•Updated Sep 20, 2016Sep 20, 2016