A high-performance adjoint algorithmic (automatic) differentiation library designed for computing first- and second-order derivatives (i.e. gradients and Hessians), ideal for numerical optimization and Monte-Carlo applications, such as derivatives pricing.
$ dotnet add package AlgoDiffNo README available.