deterministicparticleflowcontrol
Repository for Deterministic Particle Flow Control framework
https://github.com/muammar/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.
https://github.com/black-swan-icl/pyrkhsstats
A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).
https://github.com/filippomb/time-series-cluster-kernel
Kernel similarity for classification and clustering of multi-variate time series with missing values.
https://github.com/isolationkernel/ikpykit
IKPyKit: Isolation Kernel Python toolKit
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.
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