A large scale non-linear optimization library
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Updated
Aug 16, 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
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
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.
Modernized Minpack: for solving nonlinear equations and nonlinear least squares problems
A CUDA reimplementation of Bundle Adjustment for VINS-Fusion
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
Curve fitting method in JavaScript
Code for tutorial on how to use Eigen's LM optimization
Image Mosaicing or Panorama Creation
A Python module to train simple multi-layer perceptron neural networks using Levenberg-Marquardt training
A library that provides routines to compute the solutions to systems of nonlinear equations.
A Comprehensive AX = XB Calibration Solvers in Matlab
Package lm solves non-linear least squares problems using the Levenberg-Marquardt method.
Match sparse to dense animCurves in Autodesk Maya
🌏 MH1DMT is inversion software using LM (Levenberg-Marquardt), SVD (Singular Value Decomposition), SA (Simulated Annealing), VFSA (Very Fast Simulated Annealing), and MVFSA (Modified Very Fast Simulated Annealing) of one-dimension magnetotellurics (MT) in MATLAB
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