nonlinear-regression

There are 2 repositories under nonlinear-regression topic.

abnerbog / levenberg-marquardt-method
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
curve-fitting levenberg-marquardt nonlinear-regression numpy
Language:Python 99
julie-is-late / TensorFlow-Signal-Processing
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
convolutional-networks audio-data signal-processing nonlinear-regression tensorflow research-paper
Language:Python 84
jaxfit
Dipolar-Quantum-Gases / jaxfit
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
curve-fitting jax optimization gpu-acceleration least-squares nonlinear-regression python
Language:Python 58
sbeignez / MITx-6.86x-Machine-Learning
MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning
machine-learning mitx reinforcement-learning unsupervised-learning neural-networks nonlinear-regression
Language:Jupyter Notebook 55
DoseResponse / drc
Fitting dose-response models in R
dose-response-modeling r nonlinear-regression generalized-linear-models
Language:R 28
Bodigrim / tasty-bench-fit
Benchmark a given function for variable input sizes and find out its time complexity
algorithm-complexity complexity-analysis haskell nonlinear-regression performance-analysis performance-measurement performance-testing algorithm-analysis asymptotics benchmark-framework regression time-complexity time-complexity-analysis
Language:Haskell 25
syrte / robustgp
Robust Gaussian Process with Iterative Trimming
regression robust-regresssion robust-statistics outlier-detection nonlinear-regression machine-learning itgp gpy gaussian-processes python
Language:Jupyter Notebook 24
femiguez / nlraa
Nonlinear Regression for Agricultural Applications
nonlinear-regression nonlinear-mixed-models agricultural ecology r
Language:R 22
dmbates / NLreg.jl
Nonlinear regression in Julia
nonlinear-regression julia-language automatic-differentiation
Language:Julia 18
JorisChau / gslnls
{gslnls}: GSL multi-start nonlinear least-squares fitting in R
gnu-scientific-library gsl levenberg-marquardt multi-start nonlinear-least-squares nonlinear-regression r r-package robust-regresssion
Language:R 17
ml
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++.
machine-learning tensorflow python learn-machine-learning linear-regression neural-network logistic-regression k-means library ml-python convolutional-neural-networks gradient-descent nonlinear-regression
Language:Python 17
gsubramani / robust-nonlinear-regression
Robust Regression for arbitrary non-linear functions
robust fitting fitting-algorithm least-square-regression bayesian-statistics python nonlinear-regression outlier-detection numpy ransac bayesian-updates iteration robust-regression
Language:Python 15
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.
ground-motion nonlinear-regression kriging spatial-analysis mixed-effects-models optimization-algorithms scoring-algorithm
Language:MATLAB 13
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/
astronomy astrophotography curve-fitting linear-regression outlier-detection outlier-removal ransac-algorithm robust-regresssion robust-estimation robust-statistics fourier-analysis powerspectrum levenberg-marquardt multi-core-programming nonlinear-regression open-mp ransac statistical-analysis statistics
Language:C++ 12
DoseResponse / medrc
Hierarchical dose-response models in R
nonlinear-regression hierarchical-models dose-response-modeling r
Language:R 12
lorinanthony / BAKR
Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
nonlinear-regression variable-selection gwas genetics bayesian-statistics kernel-regression
Language:C++ 11
S0852306 / Surface-Fitting-Neural-Networks
Neural nets for high accuracy multivariable nonlinear regression.
deep-learning mnist neural-networks-from-scratch nonlinear-regression numerical-optimization surface-fitting
Language:MATLAB 10
hturner / gnm-day-course
one day introduction to generalized nonlinear models using the gnm and logmult R packages
r statistical-models nonlinear-regression generalized-linear-models
Language:HTML 8
bschulz81 / robustregression
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
cpp forward-search gaussian-elimination least-squares levenberg-marquardt linear-algebra linear-regression nonlinear-regression ransac regression robust-statistics s-estimator statistics open-mp python3 cmake machine-learning outlier-detection outlier-removal robust-regression
Language:C++ 6
OnofriAndreaPG / drcSeedGerm
An R package for seed germination assays
seed-germination-assays r time-to-event nonlinear-regression
Language:R 5
flowel1 / nonlinear-regression
Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets
nonlinear-regression nonlinear-models python python3 levenberg-marquardt regularization regularized-regression bayesian-inference prior-distribution regularization-methods regularization-parameters
Language:Python 4
FraJoMen / GA-cal
Fortran software for automatically calibrating constitutive laws using Genetic Algorithms optimization.
genetic-algorithms nonlinear-regression automatic-calibration hypoplasticity numerical-optimization
Language:Fortran 4
mazenalamir / siso_predictor
learning identification random-forest nonlinear-regression model-predictive-control
Language:Jupyter Notebook 4
dschmitz89 / simplenlopt
SciPy style API for NLopt
optimization constrained-optimization nonlinear-optimization global-optimization augmented-lagrangian-method nonlinear-regression nlopt python
Language:Python 3
Francesco-Zeno-Costanzo / data-Analysis
simple codes, useful in data analysis for physics student
analisi-dati circle-fitting data-analysis data-analysis-python ellipse-fit fastfouriertransform fit fourier-transform linear-regression nonlinear-regression python
Language:Python 3
heal-research / HEAL.NonlinearRegression
Fit and evaluate nonlinear regression models.
laplace-approximation nonlinear-regression profile-likelihood symbolic-regression
Language:C# 3
padpadpadpad / nlsLoop
A reliable and reproducible way of fitting non-linear regression over levels of a factor in R
nonlinear-regression r modelling
Language:R 3
vincent-picaud / NLS_Solver.jl
A bound constrained nonlinear least squares solver
optimization nonlinear-regression julia-package
Language:Julia 3
walmes / mrnl
Modelos de Regressão Não Linear
nonlinear-regression r-programming regression-models
Language:R 3
YigitTurali / LGBM_MA
An implementation of a novel Gradient Boosting algorithm inspired by ARMA models, as detailed in the associated IEEE paper on nonlinear sequential regression.
algorithm-implementation arma data-science gradient-boosting lgbm machine-learning nonlinear-regression predictive-modeling research-paper sequential-regression
Language:Jupyter Notebook 3
akpanitorobong / Statistical_Methods_for_Data_Science-Neuromarketing_Brain_Response-7089CEM
CW Code and Dataset for SMDS module at Coventry University. Applied Nonlinear Regression and Bayesian Inference techniques to analyze MEG brain responses from a simulated neuromarketing experiment. The project demonstrates proficiency in modeling complex biological signals and estimating parameter uncertainty using Approximate Bayesian Computation
approximate-bayesian-computation bayesian-inference data-science nonlinear-regression r-programming-language statistical-modeling meg-data-analysis neuromarketing
Language:Jupyter Notebook 2
busraozdemir0 / DataScienceProject
Youtube Trend Video İstatistiklerinin Analizi
data-analysis data-analysis-python data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python classification-algorithm linear-regression-algorithm lineer-regresyon nonlinear-regression seaborn unsupervised-learning
Language:Jupyter Notebook 2
guncee / ML-Nonlinear-Regression-Models
Nonlinear Regression Models
regression-models nonlinear-regression bagging-trees artificial-neural-network lightgbm xgboost-regression randomforest
Language:Jupyter Notebook 2
prasanth5reddy / CSE-569-Fundamentals-of-Statistical-Learning
CSE 569, Fall 2019 Fundamentals of Statistical Learning Course at ASU
central-limit-theorem kmeans-clustering mixture-model linear-discriminant-analysis hidden-markov-model nonlinear-regression gaussian-processes principal-component-analysis
Language:Python 2
Safaa-p / Prediction-of-real-estate-prices
using regression models(Linear Regression, non linear ,regularization)
linear-regression nonlinear-regression prediction-algorithm regularization
Language:Jupyter Notebook 2
UMN-LATIS / simple-smoothing-spline
Create a regression smoothing spline for a set of points.
spline regression data ridge-regression smoothing-splines nonlinear-regression
Language:TypeScript 2

nonlinear-regression

abnerbog / levenberg-marquardt-method

julie-is-late / TensorFlow-Signal-Processing

Dipolar-Quantum-Gases / jaxfit

sbeignez / MITx-6.86x-Machine-Learning

DoseResponse / drc

Bodigrim / tasty-bench-fit

syrte / robustgp

femiguez / nlraa

dmbates / NLreg.jl

JorisChau / gslnls

vivek3141 / ml

gsubramani / robust-nonlinear-regression

mingdeyu / GMPE-estimation

bschulz81 / hyperbolicfitdll

DoseResponse / medrc

lorinanthony / BAKR

S0852306 / Surface-Fitting-Neural-Networks

hturner / gnm-day-course

bschulz81 / robustregression

OnofriAndreaPG / drcSeedGerm

flowel1 / nonlinear-regression

FraJoMen / GA-cal

mazenalamir / siso_predictor

dschmitz89 / simplenlopt

Francesco-Zeno-Costanzo / data-Analysis

heal-research / HEAL.NonlinearRegression

padpadpadpad / nlsLoop

vincent-picaud / NLS_Solver.jl

walmes / mrnl

YigitTurali / LGBM_MA

akpanitorobong / Statistical_Methods_for_Data_Science-Neuromarketing_Brain_Response-7089CEM

busraozdemir0 / DataScienceProject

guncee / ML-Nonlinear-Regression-Models

prasanth5reddy / CSE-569-Fundamentals-of-Statistical-Learning

Safaa-p / Prediction-of-real-estate-prices

UMN-LATIS / simple-smoothing-spline