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
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
3DGS-LM accelerates Gaussian-Splatting optimization by replacing the ADAM optimizer with Levenberg-Marquardt. (ICCV 2025)
Opt DSL
[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
numerical optimization in pytorch
Modernized Minpack: for solving nonlinear equations and nonlinear least squares problems
A CUDA reimplementation of Bundle Adjustment for VINS-Fusion
A single header-only C++ library for least squares fitting.
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
A Super Fast Optimization Library
Math for real-time embedded systems, in stable no_std Rust. State estimation, control, kinematics, Lie groups, calculus, autodiff, and linear-algebra in one integrated package. Tested on 64-bit servers down to a bare-metal microcontroller.
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
Match sparse to dense animCurves in Autodesk Maya
Package lm solves non-linear least squares problems using the Levenberg-Marquardt method.
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