High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
-
Updated
May 25, 2024 - Julia
High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
A large scale non-linear optimization library
numerical optimization in pytorch
Second-order iterated smoothing algorithms for state estimation
collection of numerical optimization methods
Just some optimization algorithms with raw python
A library for differentiable nonlinear optimization
[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
[CVPR 2022 Oral, Best Student Paper] 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.
Methods to correct effect of peak shifting in curve fitting problem.
A Unified Pytorch Optimizer for Numerical Optimization
Art of finding minimum. Python implementations from scratch.
Source code for Gauss-Newton, Levenberg -Marquardt, and Gradient Descent.
Extended Kalman filter for training neural-networks
Performing Multidimensional Scaling with Gradient Descent and Gauss-Newton in JavaScript
Implementation of the subgradient and prox-linear methods for robust blind deconvolution.
Opt DSL
Different type of solvers to solve systems of nonlinear equations
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."