deterministicparticleflowcontrol
Repository for Deterministic Particle Flow Control framework
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.
qcml
A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.
kernelinterpolation.jl
Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension
NonparametricVI
Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming
prototype-quantum-kernel-training
Toolkit for training quantum kernels in machine learning applications