Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

GPU/TPU accelerated nonlinear least-squares curve fitting using JAX

MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning

Fitting dose-response models in R

Benchmark a given function for variable input sizes and find out its time complexity

Robust Gaussian Process with Iterative Trimming

Nonlinear Regression for Agricultural Applications

Nonlinear regression in Julia

Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.

{gslnls}: GSL multi-start nonlinear least-squares fitting in R

Robust Regression for arbitrary non-linear functions

This is an open source library that can be used to autofocus telescopes. It uses a novel algorithm based on robust statistics. For a preprint, see https://arxiv.org/abs/2201.12466 .The library is currently used in Astro Photography tool (APT) https://www.astrophotography.app/

GMPE-estimation implements a one-stage estimation algorithm to estimate ground-motion prediction equations (GMPE) with spatial correlation. It also quantifies the uncertainty of spatial correlation and intensity measure predictions.

Hierarchical dose-response models in R

Neural nets for high accuracy multivariable nonlinear regression.

Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)

one day introduction to generalized nonlinear models using the gnm and logmult R packages

a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.

An R package for seed germination assays

Fortran software for automatically calibrating constitutive laws using Genetic Algorithms optimization.

Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets

No description provided.

SciPy style API for NLopt

A reliable and reproducible way of fitting non-linear regression over levels of a factor in R

simple codes, useful in data analysis for physics student

Modelos de Regressão Não Linear

A bound constrained nonlinear least squares solver

Fit and evaluate nonlinear regression models.

An implementation of a novel Gradient Boosting algorithm inspired by ARMA models, as detailed in the associated IEEE paper on nonlinear sequential regression.