GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
A library for differentiable nonlinear optimization
Python 3 script for (hassle-free) fitting of Mößbauer (MB) spectra
A large scale non-linear optimization library
Training neural networks in PyTorch using the Levenberg-Marquardt (LM) algorithm
refactoring of mpfit (a partial C port of MINPACK), mostly to reduce Fortran-isms, e.g. column major --> row major, and simplify memory management (6x speed boost in test cases)
A modern Fortran statistical library.
3DGS-LM accelerates Gaussian-Splatting optimization by replacing the ADAM optimizer with Levenberg-Marquardt.
A library that provides routines to compute the solutions to systems of nonlinear equations.
Experimenting with non-linear least squares problems
Make AI model detected Fake NEWS
• Artificial Intelligence • In this project we aim to train an artificial neural network to approximate a function of a discrete dynamical system.
Modernized Minpack: for solving nonlinear equations and nonlinear least squares problems
collection of numerical optimization methods
API for panoramer
numerical optimization in pytorch
{gslnls}: GSL multi-start nonlinear least-squares fitting in R
Web based image stitching application leveraging SIFT, RANSAC, and Levenberg-Marquardt algorithm.
Generalized Improved Second Order RBF Neural Network with Center Selection using OLS
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
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