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Kernel Methods Python Packages

Python packages with the GitHub topic kernel-methods. Sorted by relevance, with stars and monthly downloads.
johnpaparrizos
grailts

"GRAIL: Efficient Time-Series Representation Learning"

3K 40 40
jajupmochi
graphkit-learn

A python package for graph kernels, graph edit distances, and graph pre-image problem.

981 129 18
IvanoLauriola
mklpy

A package for Multiple Kernel Learning scikit-compliant

660 132 45
luca-pernigo
kernel-quantile-regression

Kernel quantile regression

510 8 2
Black-Swan-ICL
pyrkhsstats

A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).

482 17 2
FilippoMB
tck

Kernel similarity for classification and clustering of multi-variate time series with missing values.

398 7 1
muammar
ml4chem

ML4Chem: Machine Learning for Chemistry and Materials

372 102 15
albertnieto
qcml

A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.

332 7 2
rikardvinge
explainpolysvm

ExplainPolySVM is a python package to provide interpretation and explainability to Support Vector Machine models trained with polynomial kernels. The package can be used with any SVM model as long as the components of the model can be extracted.

303 5 0
392781
scikit-ntk

Neural Tangent Kernel (NTK) module for the scikit-learn library

282 26 0
raamana
kernelmethods

Foundational library for Kernel methods in pattern analysis and machine learning

276 44 11
ykahalan
ddkf

Dual Dynamic Kernel Filtering (DDKF): Minimal package with arbitrary kernels and learnable parameters

260 0 0
IsolationKernel
ikpykit

IKPyKit: Isolation Kernel Python toolKit

232 11 2
sigvaldm
localreg

Multivariate Local Polynomial Regression and Radial Basis Function Regression

229 49 5
lsorber
neo-ls-svm

Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation

205 35 4
cafferychen777
flashs

Flash-S: Frequency-domain Linearized Adaptive Spatial Hypothesis testing via Sketching

198 0 0
HamidrezaEiv
kpca-deeponet

Nonlinear model reduction for operator learning

185 7 1
graphic-goose
ferreus-rbf

ferreus_rbf - Fast global radial basis function (RBF) interpolation in Rust and Python

181 25 5
tanglespace
hotstepper

A Numpy based step function library for analysis and profit. More than just taking you up and down.

177 16 1
operalib
operalib

A python module for learnign with operator-valued kernels

170 22 3
graphic-goose
ferreus-bbfmm

ferreus_rbf - Fast global radial basis function (RBF) interpolation in Rust and Python

167 25 5
fredhallgren
nystrompca

Efficient non-linear PCA through kernel PCA with the Nyström method

165 13 0
larslorch
stadion

Causal Modeling with Stationary Diffusions, AISTATS 2024

155 22 3
Nikeshbajaj
regml

Regularization for Machine Learning-RegML GUI

146 6 2
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