Functional Automatic Differentiation
Central Organizational Account for Functional Automatic Differentiation
Pinned Repositories
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Automatic Differentiation
AutoDiff
Code snippets accompanying the talk "Automatic Differentiation in Haskell."
autograd
Efficiently computes derivatives of numpy code.
DiffSharp
DiffSharp: Differentiable Functional Programming
dysvunctional-language
Running the code you want to write as fast as the code you have to write
Hype
Hype: Compositional Machine Learning and Hyperparameter Optimization
R6RS-AD
Forward and Reverse Mode Automatic Differentiation (AD) in R6RS Scheme plus extensions to support nondeterministic and stochastic programming
ReverseAD
Evaluating high order derivative tensors directly via reverse mode AD in Cpp.
STALINGRAD
Stalin∇, a brutally optimizing compiler for the VLAD language
Functional Automatic Differentiation's Repositories
Functional-AutoDiff/STALINGRAD
Stalin∇, a brutally optimizing compiler for the VLAD language
Functional-AutoDiff/dysvunctional-language
Running the code you want to write as fast as the code you have to write
Functional-AutoDiff/AutoDiff
Code snippets accompanying the talk "Automatic Differentiation in Haskell."
Functional-AutoDiff/DiffSharp
DiffSharp: Differentiable Functional Programming
Functional-AutoDiff/autograd
Efficiently computes derivatives of numpy code.
Functional-AutoDiff/R6RS-AD
Forward and Reverse Mode Automatic Differentiation (AD) in R6RS Scheme plus extensions to support nondeterministic and stochastic programming
Functional-AutoDiff/ad
Automatic Differentiation
Functional-AutoDiff/Hype
Hype: Compositional Machine Learning and Hyperparameter Optimization
Functional-AutoDiff/ReverseAD
Evaluating high order derivative tensors directly via reverse mode AD in Cpp.