kernel-ridge-regression

There are 0 repository under kernel-ridge-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 60
binghuang2018 / aqml
Amons-based quantum machine learning for quantum chemistry
quantum-chemistry machine-learning cheminformatics training-set-selection kernel-ridge-regression multi-fidelity-krr active-learning molecular-representation
Language:Python 23
mlatom
dralgroup / mlatom
AI-enhanced computational chemistry
artificial-intelligence computational-chemistry machine-learning machine-learning-potential quantum-chemistry quantum-chemistry-programs quantum-mechanics deep-learning kernel-method kernel-ridge-regression neural-network
Language:Python 21
Kennethborup / self_distillation
Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
kernel-ridge-regression distillation knowledge-distillation self-distillation resnet ridge-regression self-training
Language:Jupyter Notebook 17
MLQD
Arif-PhyChem / MLQD
MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics
artificial-intelligence convolutional-neural-networks kernel-ridge-regression krr machine-learning open-quantum-systems python quantum-dynamics aiqd fmo-complex mlqd ostl quantum-dissipative-dynamics spin-boson-model
Language:Jupyter Notebook 13
lsorber / neo-ls-svm
Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
conformal-prediction gaussian-processes kernel-methods kernel-ridge-regression ls-svm machine-learning prediction-intervals python support-vector-machines
Language:Python 11
qin-yu / julia-regression-boston-housing
2018 [Julia v1.0] machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset
introduction machine-learning supervised-learning linear-regression kernel-ridge-regression boston-housing boston-housing-dataset boston-housing-price-prediction julia regression
Language:Julia 11
Machine-Learning-in-Molecular-Sciences
nickcafferry / Machine-Learning-in-Molecular-Sciences
2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction, feature selection and clustering technology.
artificial-neural-networks random-forest kernel-ridge-regression gaussian-processes dimensionality-reduction feature-selection clustering learning-curve parameter-learning delta-learning-rule machine-learning
Language:Jupyter Notebook 5
AmishaSomaiya / Machine-Learning
Machine Learning Code Implementations in Python
kmeans-clustering kernel-ridge-regression mnist-classification neural-networks polynomial-kernel rbf-kernel regularized-logistic-regression coordinate-descent-algorithm kmeans-clustering-algorithm lasso-regression central-limit-theorem lloyds-algorithm native-python numpy principal-component-analysis pytorch representation-learning self-supervised-learning simclr vision-representations
Language:Python 4
Quantum_dissipative_dynamics_with_kernel_methods
Arif-PhyChem / Quantum_dissipative_dynamics_with_kernel_methods
Speeding up quantum dissipative dynamics of open systems with kernel methods
kernel-ridge-regression krr open-quantum-systems quantum-dynamics spin-boson-model artificial-intelligence machine-learning python mlatom
Language:Shell 3
sudeshnapal12 / Machine-Learning-algorithms-Matlab
Contains ML Algorithms implemented as part of CSE 512 - Machine Learning class taken by Fransico Orabona. Implemented Linear Regression using polynomial basis functions, Perceptron, Ridge Regression, SVM Primal, Kernel Ridge Regression, Kernel SVM, Kmeans.
kernel-ridge-regression kernel-svm kmeans perceptron ridge-regression svm
Language:TeX 3
superlj666 / Distributed-Learning-with-Random-Features
Codes and experiments for paper "Distributed Learning with Random Features". Preprint.
devide-and-conquer kernel-ridge-regression random-features
Language:MATLAB 3
windhaunting / kernel_methods
kernel linear regression and svm for Creditcard and Tumor data
kernel-ridge-regression svm
Language:Python 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
charumakhijani / advanced-house-price-prediction
house-price-prediction kaggle-competition skewed-data outlier-detection exploratory-data-analysis data-visualization missing-value-treatment one-hot-encoding scaling kfold-cross-validation rmse-score lasso-regression elastic-net-regression kernel-ridge-regression support-vector-regression gradient-boosting-regression xgbregressor lgbmregressor random-forest-regression ensemble-models
Language:Jupyter Notebook 1
elcorto / gp_playground
Explore selected topics related to Gaussian processes
gaussian-processes gpy gpytorch scikit-learn tinygp kernel-ridge-regression machine-learning
Language:Python 1
jakublala / alchemical-kernels
Pytorch implementation of Alchemical Kernels from Phys. Chem. Chem. Phys., 2018,20, 29661-29668
energy-prediction kernel-ridge-regression soap alchemical-kernel rascaline elpasolite
Language:Python 1
lukebella / SpotifyRegression
Implementation of (Kernel) Ridge Regression predictors from scratch on Kaggle's Spotify Tracks Dataset.
kaggle kernel-ridge-regression machine-learning nested-cross-validation python ridge-regression
Language:Jupyter Notebook 1
tjarkpr / learning-soft-computing-fhwedel
Lecture "Learning & soft computing" @FH-Wedel SS22
fh-wedel kernel-ridge-regression nlp sarcasm-detection
Language:Jupyter Notebook 1
EricPaul075 / OCP4-Machine-learning-to-predict-energy-consumption
Machine learning regression model to predict energy consumption and GHG emission
elasticnet-regression feature-engineering kernel-ridge-regression lasso-regression machine-learning model-comparison random-forest-regression regression-models ridge-regression scikitlearn-machine-learning xgboost-regression adaboost-regression kernel-svm-regression neural-network-regression python
Language:Jupyter Notebook 0
lanmar / Python---Wine-quality
Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau
cross-validation knn-classification knn standardization gridsearchcv python roc auroc knn-regression mse r2-score grid-search svm-kernel kernel-ridge kernel-svm kernel-svm-classifier kernel-ridge-regression
Language:Jupyter Notebook 0
luansousac / monografia
This repository contains the source code of my bachelors' thesis.
genetic-programming kernel-ridge-regression latex research
Language:TeX 0
MagneticResonanceImaging / PERK.jl
PERK: Parameter Estimation via Regression with Kernels
estimation kernel-ridge-regression kernel-machine-learning
Language:Julia 0
mrcreasey / oc-ds-p4-supervised-learning
Anticipate the energy consumption of new commercial buildings
supervised-learning feature-engineering feature-selection gridsearchcv hyperparameter-tuning kernel-ridge-regression random-forest-regression machine-learning regularization
Language:Jupyter Notebook 0
nemolino / TrackPopularityPredictor
SM4ML project
machine-learning regression-model ridge-regression spotify supervised-learning kernel-ridge-regression
Language:Jupyter Notebook 0
tjarkpr / software-project-fhwedel
Lecture "Softwareprojekt" @FH-Wedel WS20
fh-wedel kernel-ridge-regression pmagentur
Language:Python 0
AntoniaSavu / Kernel-Based-Molecular-ML-For-Vector-Valued-Properties
gaussian-processes kernel-ridge-regression machine-learning multitask-learning
Language:Jupyter Notebook
anupriya1519 / Machine-Learning
Assignments
ridge-regression kernel-ridge-regression svm svm-polynomial-kernel svm-rbf heatmap
Language:Jupyter Notebook
BenjaminRueling / Red-Wine-Quality
Kernel-Methods on a Red-Wine Dataset
kernel-ridge-regression support-vector-classification support-vector-regression
Language:Jupyter Notebook
danielchristopher513 / Stock_Prediction_Using_Machine_Learning
This repository contains code for predicting stock prices using various machine learning models. The models implemented include Linear Regression, SVM Regression, KNN Regression, Kernel Ridge Regression, and Ridge Regression.
kernel-ridge-regression knn-regression linear-regression machine-learning ridge-regression stock-price-prediction svm-regressor
Language:Jupyter Notebook
jyuan1986 / onr2017
Scripts for machine learning at ONR project (2017-)
machine-learning python kernel-ridge-regression linear-regression neural-network support-vector-regression
Language:Python
marcosdelcueto / Tutorial_KRR
Codes and images used for blog article at https://www.mdelcueto.com/blog/kernel-ridge-regression-tutorial/
blog kernel-ridge-regression machine-learning regression tutorial
Language:Python
SaharNasiri / housing-price-prediction
House Prices - Advanced Regression Techniques
gradient-boosting kernel-ridge-regression lasso-regression regression xgboost
Language:Jupyter Notebook

kernel-ridge-regression

elcorto / pwtools

binghuang2018 / aqml

dralgroup / mlatom

Kennethborup / self_distillation

Arif-PhyChem / MLQD

lsorber / neo-ls-svm

qin-yu / julia-regression-boston-housing

nickcafferry / Machine-Learning-in-Molecular-Sciences

AmishaSomaiya / Machine-Learning

Arif-PhyChem / Quantum_dissipative_dynamics_with_kernel_methods

sudeshnapal12 / Machine-Learning-algorithms-Matlab

superlj666 / Distributed-Learning-with-Random-Features

windhaunting / kernel_methods

butler-julie / SRE

charumakhijani / advanced-house-price-prediction

elcorto / gp_playground

jakublala / alchemical-kernels

lukebella / SpotifyRegression

tjarkpr / learning-soft-computing-fhwedel

EricPaul075 / OCP4-Machine-learning-to-predict-energy-consumption

lanmar / Python---Wine-quality

luansousac / monografia

MagneticResonanceImaging / PERK.jl

mrcreasey / oc-ds-p4-supervised-learning

nemolino / TrackPopularityPredictor

tjarkpr / software-project-fhwedel

AntoniaSavu / Kernel-Based-Molecular-ML-For-Vector-Valued-Properties

anupriya1519 / Machine-Learning

BenjaminRueling / Red-Wine-Quality

danielchristopher513 / Stock_Prediction_Using_Machine_Learning

jyuan1986 / onr2017

marcosdelcueto / Tutorial_KRR

SaharNasiri / housing-price-prediction