mohdibntarek / DifferentiableFactorizations.jl Star 31 Code Issues Pull requests Differentiable matrix factorizations using ImplicitDifferentiation.jl. automatic-differentiation matrix-factorization svd lu-decomposition qr-decomposition matrix-decompositions cholesky-decomposition svd-matrix-factorisation schur-decomposition eigendecomposition implicit-differentiation generalized-eigenvalue forward-mode-autodiff reverse-mode-autodiff Updated Sep 14, 2023 Julia
akankshvashisth / autograd_v2 Star 1 Code Issues Pull requests C++ automatic differentiation library with no dependencies and arbitrary higher order derivatives, stand-alone, header only machine-learning experimental neural-network optimization automatic-differentiation metaprogramming scalar autograd header-only learning-by-doing differentiation optimization-algorithms vectorized aad templated autodiff pinn pinns forward-mode-autodiff reverse-mode-autodiff Updated Feb 21, 2024 C++
BigBalloon8 / DualNumbers Star 1 Code Issues Pull requests Dual Number implementation in python python automatic-differentiation dual-numbers derivatives forward-mode-autodiff Updated Nov 15, 2025 Python
rixsilverith / nablagrad Star 1 Code Issues Pull requests Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions. automatic-differentiation autodiff autodifferentiation reverse-mode forward-mode forward-mode-autodiff reverse-mode-autodiff Updated Feb 4, 2023 C++
ExcessPhase / ctaylor Sponsor Star 1 Code Issues Pull requests Discussions Dual number classes for automatic differentiation including for higher order derivatives cplusplus automatic-differentiation metaprogramming mathematics circuit-simulator root-finding cplusplus-14 numerical-methods numerical-analysis newtons-method halley-s-method jacobian-matrix transistor-modeling halleys-method forward-mode-autodiff hessian-matrix Updated Oct 25, 2025 C++