automatic differentiation made easier for C++
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
Algorithmic differentiation with hyper-dual numbers in C++ and Python
C++20 numerical and analytical derivative computations
Automatic differentiation: A tool that allows you to calculate multivariable equations, vectors, matrices, and more. All done in C++, no libraries!
Reversed mode second order automatic differentiation for python (WIP)
Autodifferentiation engine forked from Ceres-Solver
Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions.
Lightweight automatic differentiation and error propagation library
Testing capabilities of Trilinos-Sacado in combination with e. g. tensors
compile time derivatives of functions
A library for reverse mode automatic differentiation
c++ header-only library for scientific programming.
A simple and highly extensible Computational graph library written in C++ with the support of auto diff.
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