A large scale non-linear optimization library
-
Updated
May 24, 2024 - C++
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
Opt DSL
Extended Kalman filter for training neural-networks
A single header-only C++ library for least squares fitting.
Embedded Kalman Filter algorithm developed in C for ARM Cortex STM32F407
numerical optimization in pytorch
High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
collection of numerical optimization methods
A Unified Pytorch Optimizer for Numerical Optimization
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.
Different type of solvers to solve systems of nonlinear equations
Art of finding minimum. Python implementations from scratch.
Second-order iterated smoothing algorithms for state estimation
Methods to correct effect of peak shifting in curve fitting problem.
Just some optimization algorithms with raw python
Add a description, image, and links to the gauss-newton topic page so that developers can more easily learn about it.
To associate your repository with the gauss-newton topic, visit your repo's landing page and select "manage topics."