This library provides a generic implementation of the supervised descent method, a machine learning optimization technique that can work with non-differentiable functions. It features a pre-trained facial landmark detection model based on Robust Cascaded Regression. The implementation uses Eigen for efficient matrix operations and is delivered as a header-only library for easy integration.