kernel-regression

There are 1 repository under kernel-regression topic.

elcorto / pwtools
pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.
python sqlite quantum-espresso lammps ase cp2k cpmd postprocessing preprocessing quasi-harmonic-approximation parameter-sweep radial-basis-function kernel-regression kernel-ridge-regression multivariate-regression polynomial-regression radial-distribution-function molecular-dynamics radial-pair-correlation-function
Language:Python 63
Amitha353 / Machine-Learning-Regression
Machine-Learning-Regression
simple-linear-regression multiple-regression gradient-descent coordinate-descent ridge-regre lasso-regression nearest-neighbor-search kernel-regression loss-functions bias-variance-tradeoff cross-validation generalization-error overfitting coefficient-path polynomial-regression
Language:Jupyter Notebook 16
marcelcases / calibration-sensors-machine-learning
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
multiple-linear-regression k-nearest-neighbor random-forest kernel-regression gaussian-process support-vector-regression neural-network deep-learning sklearn tensorflow
Language:Python 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
SSQ / Coursera-UW-Machine-Learning-Regression
For quick search
linear-regression ridge-regression lasso-regression nearest-neighbors kernel-regression
Language:Python 9
segsell / kernreg
Tool for non-parametric curve fitting using local polynomials.
kernel-regression non-parametric curve-fitting local-polynomial-regression
Language:Python 5
pcsl-epfl / regressionsphere
Train a neural network in feature and lazy regimes on a regression task defined on the hyper-sphere.
gaussian-random-field kernel-regression machine-learning neural-networks regression sphere pytorch
Language:Python 4
fuzailpalnak / ML-Scratch
Implementation of various Machine Learning Algorithms and Machine Learning Concepts in Python
machine-learning python regression classification linear-regression linear-classification kernel-classification kernel-regression
Language:Jupyter Notebook 2
maxkvant / LinearizedNNs
kernel-regression kernel-methods neural-networks
Language:HTML 2
butler-julie / SRE
Sequential Regression Extrapolation (SRE): An accurate method of extrapolation using machine learning
ridge-regression extrapolation regression-algorithms machine-learning machine-learning-algorithms machinelearning linear-regression kernel-ridge-regression kernel-regression
Language:Jupyter Notebook 1
himanshuvnm / Generalized-Gaussian-Radial-Basis-Function-in-Artificial-Intelligence-MATLAB
This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.
activation-functions artificial-intelligence deep-learning deep-neural-networks gaussian-process-regression image-recognition kernel-regression machine-learning-algorithms neural-network reproducing-kernel-hilbert-space support-vector-machine
Language:MATLAB 1
tonymngo / algorithm_implementation
My implementation of some algorithms
mergesort kernel-regression
Language:Jupyter Notebook 1
b-w-a / balance
Assess Balance with Machine Learning
machine-learning balance kernel-regression
0
BaccarelliLab / Main
Guide for the Baccarelli Lab GitHub
epigenomics methylation illumina-data kernel-regression snp-genotyping snps columbia-university dna-methylation epitranscriptomics epigenetics publichealth machinelearning-r data-analysis toxicology environmental-exposures health epidemiology-analysis r-programming
0
DevVladikNT / KernelRegression
My realization of kernel regression.
python python3 regression regression-algorithms regression-model density-visualization kernel kernel-regression
Language:Python 0
haojunsui / ksmooth-lib
A library of smoothing kernels in multiple languages for use in kernel regression and kernel density estimation.
kernel-smoother statistics nonparametric kernel-density-estimation kernel-methods kernel local-regression kernel-regression
0
jrjthompson / anisotropicSmoothing
Anisotropic smoothing for change-point regression data
change-point kernels regression smoothing image-processing nonparametric nonparametric-regression anisotropic anisotropic-diffusion fire-spread image-analysis kernel-regression
Language:Roff 0
NursultanBS / COVID19-Healthy-Diet-Prediction
Identifying the most influential food groups on COVID-19 recovery rate: exploratory data analysis and statistical modeling
linear-regression principal-component-analysis lasso-regression stepwise-regression kernel-regression knn-regression decision-tree-regression extreme-gradient-boosting
Language:HTML 0
PatrickSVM / Kernel-Regression-for-Temperature-Prediction-Using-PySpark
Implementation of a Gaussian Kernel Regression for Temperature prediction using PySpark.
kernel-regression pyspark temperature-prediction
Language:Jupyter Notebook 0
pllittle / ROKET
This R package repository performs optimal transport and kernel regression hypothesis testing. Functions to perform large scale simulations are also provided.
optimal-transport kernel-regression somatic-mutations cancer-genomics
Language:R 0
chan-yc / comp0081-applied-machine-learning
UCL COMP0081 Applied Machine Learning (2023/24)
cart decision-tree svm kernel-regression
Language:Jupyter Notebook
JRigh / Nonparametric-Regression-in-R-and-Python
Nonparametric regression examples with R and Python
kernel-regression nonparametric-regression python3 r smoothing-splines
Language:Jupyter Notebook
pllittle / ROKETworkflow
This repo contains an R package to execute ROKET's real data analysis workflow on TCGA cancer types
kernel-regression optimal-transport somatic-mutations
Language:R
reinwzhang / SharedBike
Shared Bike Volumn Prediction
svm-classifier lightgbm kernel-regression xgboost
Language:Jupyter Notebook
sghawana / kernel-regression-using-numpy
I performed the task of multilinear and generalized regression using both polynomial and non polynomial kernels
kernel-regression regression-analysis
Language:Jupyter Notebook