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35 search results found

Opt Mmd ⭐ 204

Learning kernels to maximize the power of MMD tests

Scala Library/REPL for Machine Learning Research

Large-scale, multi-GPU capable, kernel solver

Graphkit Learn ⭐ 107

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

ML4Chem: Machine Learning for Chemistry and Materials

Neural Kernel Network ⭐ 62

Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

Kernel Gof ⭐ 56

NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

Kelp Full ⭐ 53

Interpretable Test ⭐ 44

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Kernelmethods ⭐ 42

Foundational library for Kernel methods in pattern analysis and machine learning

Datadrivendynsyst ⭐ 40

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Prototype Quantum Kernel Training ⭐ 31

Toolkit for training quantum kernels in machine learning applications

This is the page for the book Digital Signal Processing with Kernel Methods.

Kernel Mod ⭐ 18

NeurIPS 2018. Linear-time model comparison tests.

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

Operalib ⭐ 17

Learning with operator-valued kernels

Implicit generative models and related stuff based on the MMD, in PyTorch

Fsic Test ⭐ 15

ICML 2017. Kernel-based adaptive linear-time independence test.

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

Kernel Ep ⭐ 14

UAI 2015. Kernel-based just-in-time learning for expectation propagation

Mmdagg Paper ⭐ 14

Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.15073

Kelp Input Generator ⭐ 13

Utility project to generate KeLP compliant representations

Nystrompca ⭐ 11

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

Quadrature-based features for kernel approximation

Scikit Ntk ⭐ 11

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

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

Manifoldem_python ⭐ 8

ManifoldEM Python suite

Kpca Denoising Python ⭐ 8

Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016

AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.

Ksdagg Paper ⭐ 6

Code for reproducible experiments presented in KSD Aggregated Goodness-of-fit Test. https://arxiv.org/abs/2202.00824 NeurIPS 2022

Regularization_for_machine_learning ⭐ 6

Regularization for Machine Learning-RegML GUI

Automatic_design_of_quantum_feature_maps_genetic_auto Generation ⭐ 6

Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.

Multiplekernel Leastsquares Supportvectormachine ⭐ 6

Multiple Kernel Least Squares Suport Vector Machine provide classification model.

Kernel Adaptive Filtering In Python ⭐ 5

Implementation of LMS, RLS, KLMS and KRLS filters in Python

MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting by Biggs, Schrab, and Gretton: https://arxiv.org/abs/2306.08777

Recursive Nystrom ⭐ 5

Python implementation of RLS-Nystrom

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