Kernel Methods Python Packages

grailts

"GRAIL: Efficient Time-Series Representation Learning"

graphkit-learn

A Python library for graph kernels, graph edit distances, and graph pre-images

kernel-quantile-regression

Kernel quantile regression

mklpy

A package for Multiple Kernel Learning in Python

tck

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

kernelmethods

Kernel methods and classes for composable kernel learning workflows.

pyrkhsstats

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

qcml

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

ml4chem

Machine learning for chemistry and materials.

scikit-ntk

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

ikpykit

IKPyKit: Isolation Kernel Python toolKit

localreg

Multivariate Local Polynomial Regression and Radial Basis Function Regression

ddkf

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

explainpolysvm

Module for Global and Local explanations and feature selection for Support Vector Machines trained with polynomial kernels.

flashs

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

operalib

Learning 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

kpca-deeponet

Nonlinear model reduction for operator learning

hotstepper

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

nystrompca

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

stadion

Causal Modeling with Stationary Diffusions, AISTATS 2024

ferreus-rbf

Fast, memory efficient radial basis function (RBF) interpolation library

regml

Regularization Methods for Machine Learning