Topic: kernel-regression Goto Github
Some thing interesting about kernel-regression
Some thing interesting about kernel-regression
kernel-regression,Machine-Learning-Regression
User: amitha353
kernel-regression,Assess Balance with Machine Learning
User: b-w-a
kernel-regression,Guide for the Baccarelli Lab GitHub
Organization: baccarellilab
kernel-regression,Sequential Regression Extrapolation (SRE): An accurate method of extrapolation using machine learning
User: butler-julie
Home Page: https://butler-julie.github.io/SRE/
kernel-regression,UCL COMP0081 Applied Machine Learning (2023/24)
User: chan-yc
kernel-regression,My realization of kernel regression.
User: devvladiknt
kernel-regression,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.
User: elcorto
Home Page: https://elcorto.github.io/pwtools
kernel-regression,Implementation of various Machine Learning Algorithms and Machine Learning Concepts in Python
User: fuzailpalnak
kernel-regression,A library of smoothing kernels in multiple languages for use in kernel regression and kernel density estimation.
User: haojunsui
kernel-regression,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.
User: himanshuvnm
Home Page: https://arxiv.org/pdf/2312.10693.pdf
kernel-regression,Nonparametric regression examples with R and Python
User: jrigh
kernel-regression,Anisotropic smoothing for change-point regression data
User: jrjthompson
kernel-regression,Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
User: lorinanthony
kernel-regression,Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
User: marcelcases
kernel-regression,
User: maxkvant
kernel-regression,Identifying the most influential food groups on COVID-19 recovery rate: exploratory data analysis and statistical modeling
User: nursultanbs
kernel-regression,Implementation of a Gaussian Kernel Regression for Temperature prediction using PySpark.
User: patricksvm
kernel-regression,Train a neural network in feature and lazy regimes on a regression task defined on the hyper-sphere.
Organization: pcsl-epfl
kernel-regression,This R package repository performs optimal transport and kernel regression hypothesis testing. Functions to perform large scale simulations are also provided.
User: pllittle
kernel-regression,This repo contains an R package to execute ROKET's real data analysis workflow on TCGA cancer types
User: pllittle
kernel-regression,Shared Bike Volumn Prediction
User: reinwzhang
kernel-regression,Tool for non-parametric curve fitting using local polynomials.
User: segsell
kernel-regression,I performed the task of multilinear and generalized regression using both polynomial and non polynomial kernels
User: sghawana
kernel-regression,For quick search
User: ssq
kernel-regression,My implementation of some algorithms
User: tonymngo
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