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Differentiation Tools in Julia


  1. Forward Mode Automatic Differentiation for Julia

    Julia 660 122

  2. Reverse Mode Automatic Differentiation for Julia

    Julia 263 49

  3. Taylor polynomial expansions in one and several independent variables.

    Julia 236 46

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

    Julia 301 65

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

    Julia 208 19

  6. 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 162 38


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