Kernel Methods Python Packages

grailts

"GRAIL: Efficient Time-Series Representation Learning"

ferreus-rbf

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

graphkit-learn

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

ferreus-bbfmm

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

ferreus-rmt

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

mklpy

A package for Multiple Kernel Learning in Python

kernel-quantile-regression

Kernel quantile regression

ml4chem

ML4Chem: Machine Learning for Chemistry and Materials

pyrkhsstats

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

kernelmethods

Kernel methods and classes for composable kernel learning workflows.

ikpykit

Isolation Kernel Toolkit in Python.

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.

localreg

Local Polynomial Regression

ddkf

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

scikit-ntk

Implementation of the neural tangent kernel for scikit-learn's Gaussian process module.

tck

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

qcml

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

flashs

Spatially variable gene detection via frequency-domain kernel testing

hotstepper

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

kpca-deeponet

Nonlinear model reduction for operator learning

kllr

Kernel Localized Linear Regression, a scale-dependent, multi-variate model class for regression analysis.

operalib

A python module for learnign with operator-valued kernels

neo-ls-svm

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

ratvec

Low-dimensional vector representations via kernel PCA with rational kernels