kernel-regression
There are 29 repositories 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.
Amitha353/Machine-Learning-Regression
Machine-Learning-Regression
marcelcases/calibration-sensors-machine-learning
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
lorinanthony/BAKR
Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
SSQ/Coursera-UW-Machine-Learning-Regression
For quick search
pcsl-epfl/regressionsphere
Train a neural network in feature and lazy regimes on a regression task defined on the hyper-sphere.
segsell/kernreg
Tool for non-parametric curve fitting using local polynomials.
fuzailpalnak/ML-Scratch
Implementation of various Machine Learning Algorithms and Machine Learning Concepts in Python
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.
butler-julie/SRE
Sequential Regression Extrapolation (SRE): An accurate method of extrapolation using machine learning
tonymngo/algorithm_implementation
My implementation of some algorithms
b-w-a/balance
Assess Balance with Machine Learning
BaccarelliLab/Main
Guide for the Baccarelli Lab GitHub
chan-yc/comp0081-applied-machine-learning
UCL COMP0081 Applied Machine Learning (2023/24)
DevVladikNT/KernelRegression
My realization of kernel regression.
felix-reichel/bannister-rdd
An empirical investigation of the 'bannister' one mile record time progression using RDD/KernelReg.
haojunsui/ksmooth-lib
A library of smoothing kernels in multiple languages for use in kernel regression and kernel density estimation.
jrjthompson/anisotropicSmoothing
Anisotropic smoothing for change-point regression data
NursultanBS/COVID19-Healthy-Diet-Prediction
Identifying the most influential food groups on COVID-19 recovery rate: exploratory data analysis and statistical modeling
PatrickSVM/Kernel-Regression-for-Temperature-Prediction-Using-PySpark
Implementation of a Gaussian Kernel Regression for Temperature prediction using PySpark.
pllittle/ROKET
This R package repository performs optimal transport and kernel regression hypothesis testing. Functions to perform large scale simulations are also provided.
rennaMAhcuS/CS215Assignments
The repository containing all the Data Analysis' assignments
sghawana/classical-ml-algos
Implementation of standard ml algorithms for regression, classification and clustering
DKMap-VIS/DKMap
A novel DR visualization technique for interactive exploration of multimodal embeddings through Dynamic Kernel enhanced projection.
JRigh/Nonparametric-Regression-in-R-and-Python
Nonparametric regression examples with R and Python
pllittle/ROKETworkflow
This repo contains an R package to execute ROKET's real data analysis workflow on TCGA cancer types
reinwzhang/SharedBike
Shared Bike Volumn Prediction
vocoder-na/V-Code-Protocol-Manifest
Topological Hashing Registry for Chaos Resilience.