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Functional Automatic Differentiation
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Efficiently computes derivatives of numpy code.
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Functional-AutoDiff/DiffSharp's past year of commit activity - ReverseAD Public Forked from TiarkRompf/ReverseAD
Evaluating high order derivative tensors directly via reverse mode AD in Cpp.
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Functional-AutoDiff/autograd's past year of commit activity - AutoDiff Public Forked from friedbrice/AutoDiff
Code snippets accompanying the talk "Automatic Differentiation in Haskell."
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Functional-AutoDiff/AutoDiff's past year of commit activity - dysvunctional-language Public Forked from axch/dysvunctional-language
Running the code you want to write as fast as the code you have to write
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Functional-AutoDiff/dysvunctional-language's past year of commit activity - R6RS-AD Public Forked from qobi/R6RS-AD
Forward and Reverse Mode Automatic Differentiation (AD) in R6RS Scheme plus extensions to support nondeterministic and stochastic programming
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Functional-AutoDiff/R6RS-AD's past year of commit activity - Hype Public Forked from hypelib/Hype
Hype: Compositional Machine Learning and Hyperparameter Optimization
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Functional-AutoDiff/Hype's past year of commit activity
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