There are 1 repository under gauss-newton topic.
A large scale non-linear optimization library
A library for differentiable nonlinear optimization
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
numerical optimization in pytorch
[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
A single header-only C++ library for least squares fitting.
High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
Embedded Kalman Filter algorithm developed in C for ARM Cortex STM32F407
collection of numerical optimization methods
Source code for Gauss-Newton, Levenberg -Marquardt, and Gradient Descent.
A Unified Pytorch Optimizer for Numerical Optimization
Different type of solvers to solve systems of nonlinear equations
Implementation of the subgradient and prox-linear methods for robust blind deconvolution.
Second-order iterated smoothing algorithms for state estimation
Gauss-Newton solver for EXOTica. This is now part of upstream EXOTica as LevenbergMarquardtSolver. You may use this to experiment with Newtonian like solvers or as blueprint for your own solver implementation.
Art of finding minimum. Python implementations from scratch.
Just some optimization algorithms with raw python
Project on Compartment model.
Performing Multidimensional Scaling with Gradient Descent and Gauss-Newton in JavaScript
Methods to correct effect of peak shifting in curve fitting problem.