JuliaDiff

Differentiation Tools in Julia

Pinned Loading

ForwardDiff.jl ForwardDiff.jl Public

Forward Mode Automatic Differentiation for Julia

Julia 874 141
ReverseDiff.jl ReverseDiff.jl Public

Reverse Mode Automatic Differentiation for Julia

Julia 343 57
TaylorSeries.jl TaylorSeries.jl Public

Taylor polynomial expansions in one and several independent variables.

Julia 331 51
ChainRules.jl ChainRules.jl Public

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

Julia 426 85
FiniteDifferences.jl FiniteDifferences.jl Public

High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

Julia 290 26
ChainRulesCore.jl ChainRulesCore.jl Public

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 p…

Julia 249 60

Repositories

ForwardDiff.jl Public
Forward Mode Automatic Differentiation for Julia

JuliaDiff/ForwardDiff.jl’s past year of commit activity

Julia 874 141 126 30 Updated Jul 6, 2024
AbstractDifferentiation.jl Public
An abstract interface for automatic differentiation.

JuliaDiff/AbstractDifferentiation.jl’s past year of commit activity

Julia 136 MIT 18 37 (4 issues need help) 7 Updated Jun 29, 2024
TaylorSeries.jl Public
Taylor polynomial expansions in one and several independent variables.

JuliaDiff/TaylorSeries.jl’s past year of commit activity

Julia 331 51 31 5 Updated Jun 22, 2024
ChainRules.jl Public
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

JuliaDiff/ChainRules.jl’s past year of commit activity

Julia 426 85 92 (5 issues need help) 36 Updated Jun 21, 2024
FiniteDifferences.jl Public
High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

JuliaDiff/FiniteDifferences.jl’s past year of commit activity

Julia 290 MIT 26 31 (1 issue needs help) 6 Updated Jun 11, 2024
TaylorDiff.jl Public
Taylor-mode automatic differentiation for higher-order derivatives

JuliaDiff/TaylorDiff.jl’s past year of commit activity

Julia 66 MIT 7 3 1 Updated Jun 6, 2024
ChainRulesCore.jl Public
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/ChainRulesCore.jl’s past year of commit activity

Julia 249 60 111 (6 issues need help) 26 Updated May 31, 2024
juliadiff.github.io Public

JuliaDiff/juliadiff.github.io’s past year of commit activity

JavaScript 11 9 0 0 Updated May 30, 2024
ReverseDiff.jl Public
Reverse Mode Automatic Differentiation for Julia

JuliaDiff/ReverseDiff.jl’s past year of commit activity

Julia 343 57 67 8 Updated May 28, 2024
FiniteDiff.jl Public
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

JuliaDiff/FiniteDiff.jl’s past year of commit activity

Julia 241 39 10 3 Updated May 24, 2024