Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
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Updated
Jan 31, 2019 - C++
Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
A malloc-free Levenberg-Marquardt optimizer for nonlinear least squares regression
This is an open source library that can be used to autofocus telescopes. It uses a novel algorithm based on robust statistics. For a preprint, see https://arxiv.org/abs/2201.12466 .The library is currently used in Astro Photography tool (APT) https://www.astrophotography.app/
Statistical analysis library including C ++ implementation of linear non-Gaussian aperiodic model (LiNGAM)
Linear Regression Theory and Practice.
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