Search 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

kernelmethods

Kernel methods and classes for composable kernel learning workflows.

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).

ml4chem

Machine learning for chemistry and materials.

scikit-ntk

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

qcml

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

ikpykit

IKPyKit: Isolation Kernel Python toolKit

localreg

Multivariate Local Polynomial Regression and Radial Basis Function Regression

explainpolysvm

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

ddkf

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

flashs

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

operalib

Learning with operator-valued kernels

ratvec

Low-dimensional vector representations via kernel PCA with rational kernels

neo-ls-svm

Neo LS-SVM

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.

ferreus-rbf

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

ferreus-bbfmm

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

stadion

Causal Modeling with Stationary Diffusions, AISTATS 2024

nystrompca

Kernel PCA with the Nyström method