Pinned Repositories
BlueStyle
A Julia style guide that lives in a blue world
ChainRules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
ChainRulesCore.jl
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
DifferentiationInterface.jl
An interface to various automatic differentiation backends in Julia.
Diffractor.jl
Next-generation AD
FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
FiniteDifferences.jl
High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)
ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
ReverseDiff.jl
Reverse Mode Automatic Differentiation for Julia
TaylorSeries.jl
Taylor polynomial expansions in one and several independent variables.
JuliaDiff's Repositories
JuliaDiff/ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
JuliaDiff/BlueStyle
A Julia style guide that lives in a blue world
JuliaDiff/ChainRules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
JuliaDiff/Diffractor.jl
Next-generation AD
JuliaDiff/ReverseDiff.jl
Reverse Mode Automatic Differentiation for Julia
JuliaDiff/TaylorSeries.jl
Taylor polynomial expansions in one and several independent variables.
JuliaDiff/FiniteDifferences.jl
High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)
JuliaDiff/DifferentiationInterface.jl
An interface to various automatic differentiation backends in Julia.
JuliaDiff/FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
JuliaDiff/ChainRulesCore.jl
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
JuliaDiff/SparseDiffTools.jl
Fast jacobian computation through sparsity exploitation and matrix coloring
JuliaDiff/AbstractDifferentiation.jl
An abstract interface for automatic differentiation.
JuliaDiff/DualNumbers.jl
Julia package for representing dual numbers and for performing dual algebra
JuliaDiff/TaylorDiff.jl
Taylor-mode automatic differentiation for higher-order derivatives
JuliaDiff/DiffRules.jl
A simple shared suite of common derivative definitions
JuliaDiff/Capstan.jl
A Cassette-based automatic differentiation package for the Julia language
JuliaDiff/ChainRulesTestUtils.jl
Utilities for testing custom AD primitives.
JuliaDiff/HyperDualNumbers.jl
Julia implementation of HyperDualNumbers
JuliaDiff/DiffResults.jl
A package which provides an API for querying differentiation results at multiple orders simultaneously
JuliaDiff/PolyesterForwardDiff.jl
JuliaDiff/DiffTests.jl
A common suite of test functions for stressing the robustness of differentiation tools.
JuliaDiff/juliadiff.github.io
JuliaDiff/DocThemeIndigo.jl
The Documenter Theme for the ChainRules family of packages. But you can use it too
JuliaDiff/ChainRulesOverloadGeneration.jl
Tools to help generate operator overloads based on ChainRules
JuliaDiff/ChainRulesDeclarationHelpers.jl
Helpers for declaring ChainRules