There are 2 repositories under nonlinear-regression topic.
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
Benchmark a given function for variable input sizes and find out its time complexity
MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning
Fitting dose-response models in R
Robust Regression for arbitrary non-linear functions
Hierarchical dose-response models in R
Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
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.
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/
one day introduction to generalized nonlinear models using the gnm and logmult R packages
Neural nets for high accuracy multivariable nonlinear regression.
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
Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets
simple codes, useful in data analysis for physics student
Fit and evaluate nonlinear regression models.
A reliable and reproducible way of fitting non-linear regression over levels of a factor in R
Course work of Multivariate data analysis CH5440
SciPy style API for NLopt
Nonlinear Regression Models
using regression models(Linear Regression, non linear ,regularization)
A bound constrained nonlinear least squares solver
An implementation of a novel Gradient Boosting algorithm inspired by ARMA models, as detailed in the associated IEEE paper on nonlinear sequential regression.
Youtube Trend Video İstatistiklerinin Analizi
Different linear and non linear regression models are demonstrated with illustration on parameter tuning using GridsearchCV in sklearn
In this section, we will predict with NonLinear Regressions