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.

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pllittle/ROKET

This R package repository performs optimal transport and kernel regression hypothesis testing. Functions to perform large scale simulations are also provided.

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fuzailpalnak/ML-Scratch

Implementation of various Machine Learning Algorithms and Machine Learning Concepts in Python

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jrjthompson/anisotropicSmoothing

Anisotropic smoothing for change-point regression data

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segsell/kernreg

Tool for non-parametric curve fitting using local polynomials.

Language: Python - Size: 901 KB - Last synced at: 26 days ago - Pushed at: 7 months ago - Stars: 5 - Forks: 0

sghawana/kernel-regression-using-numpy

I performed the task of multilinear and generalized regression using both polynomial and non polynomial kernels

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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.

Language: MATLAB - Size: 10.8 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

lorinanthony/BAKR

Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)

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Amitha353/Machine-Learning-Regression

Machine-Learning-Regression

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tonymngo/algorithm_implementation

My implementation of some algorithms

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pcsl-epfl/regressionsphere

Train a neural network in feature and lazy regimes on a regression task defined on the hyper-sphere.

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maxkvant/LinearizedNNs

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DevVladikNT/KernelRegression

My realization of kernel regression.

Language: Python - Size: 6.15 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

marcelcases/calibration-sensors-machine-learning

Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms

Language: Python - Size: 2.99 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 5

pllittle/ROKETworkflow

This repo contains an R package to execute ROKET's real data analysis workflow on TCGA cancer types

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PatrickSVM/Kernel-Regression-for-Temperature-Prediction-Using-PySpark

Implementation of a Gaussian Kernel Regression for Temperature prediction using PySpark.

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SSQ/Coursera-UW-Machine-Learning-Regression

For quick search

Language: Python - Size: 56 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 9 - Forks: 14

butler-julie/SRE

Sequential Regression Extrapolation (SRE): An accurate method of extrapolation using machine learning

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haojunsui/ksmooth-lib

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

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