local-regression

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l-ramirez-lopez / resemble

resemble is an R package for similarity-based modelling and local learning in spectroscopy. It provides tools for dissimilarity computation, nearest-neighbour search, memory-based learning, and spectral library optimisation (methods designed for large, heterogeneous spectral datasets where global models underperform)

machine-learning cheminformatics evolutionary-algorithm spectroscopy spectral-data chemometrics nir local-regression pedometrics soil-spectroscopy lazy-learning spectral-library infrared-spectroscopy memory-based-learning evolutionary-search

Updated Aug 31, 2026
R

nitishabharathi / LEMNA

Star 24

Source code for 'Lemna: Explaining deep learning based security applications'.

local-regression explainable-ai explainable-ml

Updated May 15, 2020
Python

jiedxu / WindPowerForecast

Star 10

Wind Power Prediction with ECMWF Data as Input using Statistical Learning

cross-validation statistical-learning prediction forecast local-regression wind-power

Updated Apr 7, 2020
PostScript

SannidhyaDas / life-expectancy-smoothing-analysis

Star 1

Comparative analysis of nonparametric regression methods (KNN, LOWESS, Bin, Kernel, Local Linear) to explore the nonlinear relationship between health expenditure and life expectancy using WHO data (2000–2015).

python scikit-learn cross-validation data-visualization global-health statsmodels nonparametric-regression local-regression knn-regression life-expectancy lowess smoothing-methods diminishing-returns who-dataset

Updated Nov 8, 2025
Jupyter Notebook

esosetrov / LOWESS-Smoother-Implementation

Star 1

Implementation of LOWESS (Locally Weighted Scatterplot Smoothing) algorithm with bootstrap confidence intervals for nonparametric regression and data smoothing in Python.

education statistics time-series data-visualization forecasting smoothing confidence-intervals outlier-detection statsmodels nonparametric-regression local-regression bootstrap-resampling lowess data-smoothing statmodels scatter-plot-smoothing robust-weighting

Updated Apr 2, 2026
Jupyter Notebook

haojunsui / ksmooth-lib

Star 0

A library of smoothing kernels in multiple languages for use in kernel regression and kernel density estimation.

statistics kernel kernel-methods kernel-smoother nonparametric kernel-density-estimation local-regression kernel-regression

Updated Feb 9, 2017

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