A large scale non-linear optimization library
A library for differentiable nonlinear optimization
[CVPR 2022 Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation
Opt DSL
[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
numerical optimization in pytorch
A single header-only C++ library for least squares fitting.
Extended Kalman filter for training neural-networks
A Super Fast Optimization Library
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
Second-order iterated smoothing algorithms for state estimation
A Unified Pytorch Optimizer for Numerical Optimization
Different type of solvers to solve systems of nonlinear equations
Source code for Gauss-Newton, Levenberg -Marquardt, and Gradient Descent.
Implementation of the subgradient and prox-linear methods for robust blind deconvolution.