#

nonlinear-regression

Here are 55 public repositories matching this topic...

jshap70 / TensorFlow-Signal-Processing

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

tensorflow signal-processing audio-data convolutional-networks research-paper nonlinear-regression

Updated Mar 31, 2018
Python

dmbates / NLreg.jl

Nonlinear regression in Julia

automatic-differentiation julia-language nonlinear-regression

Updated Mar 30, 2020
Julia

DoseResponse / drc

Fitting dose-response models in R

r generalized-linear-models dose-response-modeling nonlinear-regression

Updated Apr 24, 2022
R

vivek3141 / ml

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

python machine-learning library neural-network tensorflow linear-regression logistic-regression convolutional-neural-networks gradient-descent k-means nonlinear-regression learn-machine-learning ml-python

Updated May 26, 2022
Python

femiguez / nlraa

Nonlinear Regression for Agricultural Applications

r ecology agricultural nonlinear-regression nonlinear-mixed-models

Updated Oct 14, 2022
R

syrte / robustgp

Robust Gaussian Process with Iterative Trimming

python machine-learning regression outlier-detection gaussian-processes robust-regresssion nonlinear-regression robust-statistics gpy itgp

Updated Jun 13, 2021
Jupyter Notebook

lorinanthony / BAKR

Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)

gwas genetics variable-selection bayesian-statistics kernel-regression nonlinear-regression

Updated Jan 31, 2019
C++

jaxfit

Dipolar-Quantum-Gases / jaxfit

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

python optimization least-squares curve-fitting gpu-acceleration nonlinear-regression jax

Updated Oct 6, 2022
Python

gsubramani / robust-nonlinear-regression

Robust Regression for arbitrary non-linear functions

python numpy iteration fitting robust outlier-detection fitting-algorithm ransac bayesian-statistics least-square-regression nonlinear-regression bayesian-updates robust-regression

Updated Jun 16, 2018
Python

DoseResponse / medrc

Hierarchical dose-response models in R

r hierarchical-models dose-response-modeling nonlinear-regression

Updated Nov 8, 2018
R

hturner / gnm-day-course

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

r statistical-models generalized-linear-models nonlinear-regression

Updated Jun 20, 2018
HTML

bschulz81 / hyperbolicfitdll

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/

statistics astronomy linear-regression statistical-analysis curve-fitting levenberg-marquardt outlier-detection ransac fourier-analysis outlier-removal astrophotography open-mp robust-regresssion nonlinear-regression multi-core-programming ransac-algorithm robust-estimation powerspectrum robust-statistics

Updated Jun 29, 2022
C++

abnerbog / levenberg-marquardt-method

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

numpy curve-fitting levenberg-marquardt nonlinear-regression

Updated Oct 27, 2022
Python

OnofriAndreaPG / drcSeedGerm

An R package for seed germination assays

r time-to-event nonlinear-regression seed-germination-assays

Updated Jul 11, 2022
R

mazenalamir / siso_predictor

learning random-forest identification model-predictive-control nonlinear-regression

Updated Jun 4, 2021
Jupyter Notebook

padpadpadpad / nlsLoop

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

r modelling nonlinear-regression

Updated Dec 8, 2017
R

mingdeyu / GMPE-estimation

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.

spatial-analysis optimization-algorithms kriging scoring-algorithm nonlinear-regression ground-motion mixed-effects-models

Updated Aug 10, 2020
MATLAB

athulvijayan6 / multivariate-data-analysis-CH5440

Course work of Multivariate data analysis CH5440

neural-network optimization svm linear-regression kmeans multivariate-analysis principle-component-analysis svr nonlinear-regression

Updated Apr 22, 2018
MATLAB

sbeignez / MITx-6.86x-Machine-Learning

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

machine-learning reinforcement-learning neural-networks mitx unsupervised-learning nonlinear-regression

Updated Feb 10, 2022
Jupyter Notebook

guncee / ML-Nonlinear-Regression-Models

Nonlinear Regression Models

randomforest lightgbm regression-models artificial-neural-network nonlinear-regression xgboost-regression bagging-trees

Updated May 24, 2020
Jupyter Notebook

Improve this page

Add a description, image, and links to the nonlinear-regression topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the nonlinear-regression topic, visit your repo's landing page and select "manage topics."