Kernel Methods Python Packages

grailts

"GRAIL: Efficient Time-Series Representation Learning"

graphkit-learn

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

mklpy

A package for Multiple Kernel Learning scikit-compliant

kernel-quantile-regression

Kernel quantile regression

pyrkhsstats

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

tck

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

ml4chem

ML4Chem: Machine Learning for Chemistry and Materials

qcml

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

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.

scikit-ntk

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

kernelmethods

Foundational library for Kernel methods in pattern analysis and machine learning

ddkf

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

ikpykit

IKPyKit: Isolation Kernel Python toolKit

localreg

Multivariate Local Polynomial Regression and Radial Basis Function Regression

neo-ls-svm

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

flashs

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

kpca-deeponet

Nonlinear model reduction for operator learning

ferreus-rbf

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

hotstepper

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

operalib

A python module for learnign with operator-valued kernels

ferreus-bbfmm

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

nystrompca

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

stadion

Causal Modeling with Stationary Diffusions, AISTATS 2024

regml

Regularization for Machine Learning-RegML GUI