Kernel Methods Python Packages

r2py-kernsmooth

Python port of R's KernSmooth: binned kernel density estimation, local polynomial regression, and plug-in bandwidth selection, wrapping the original Fortran routines via f2py.

grailts

"GRAIL: Efficient Time-Series Representation Learning"

ferreus-rbf

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

mklpy

A package for Multiple Kernel Learning in Python

graphkit-learn

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

rustures

Fast, memory-aware offline change-point detection for Python, powered by Rust.

localreg

Multivariate Local Polynomial Regression and Radial Basis Function Regression

jizai

Fast and memory-efficient radial basis function (RBF) interpolation

flashs

Spatially variable gene detection via frequency-domain kernel testing

kernel-quantile-regression

Kernel quantile regression

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.

ikpykit

IKPyKit: Isolation Kernel Python toolKit

tck

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

pyrkhsstats

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

scikit-ntk

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

ferreus-bbfmm

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

qcml

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

ddkf

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

kernelmethods

Foundational library for Kernel methods in pattern analysis and machine learning

ml4chem

ML4Chem: Machine Learning for Chemistry and Materials

ferreus-rmt

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

neo-ls-svm

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

operalib

Learning with operator-valued kernels

ratvec

Low-dimensional vector representations via kernel PCA with rational kernels