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kernel-methods

Here are 196 public repositories matching this topic...

awesome-graph-classification

benedekrozemberczki / awesome-graph-classification

Sponsor

A collection of important graph embedding, classification and representation learning papers with implementations.

deepwalk kernel-methods attention-mechanism network-embedding graph-kernel graph-kernels graph-convolutional-networks classification-algorithm node2vec weisfeiler-lehman graph-embedding graph-classification graph-attention-networks graph-representation-learning graph2vec deep-graph-kernels netlsd graph-attention-model structural-attention node-embedding

Updated Jan 22, 2023
Python

djsutherland / opt-mmd

Learning kernels to maximize the power of MMD tests

python machine-learning theano tensorflow generative-adversarial-network statistical-tests kernel-methods hypothesis-testing maximum-mean-discrepancy shogun

Updated Jan 11, 2018
Python

tailhq / DynaML

Scala Library/REPL for Machine Learning Research

machine-learning scala tensorflow repl machine-learning-algorithms regression classification machine-learning-api scala-library kernel-methods committee-models gaussian-processes

Updated Nov 16, 2022
Scala

BayesWatch / deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

kernel deep-learning paper regression uncertainty bayesian-methods classification kernel-methods one-shot-learning uncertainty-quantification gaussian-processes kernels meta-learning shot-learning deep-kernel-learning few-shot-learning gpytorch

Updated Jan 19, 2022
Python

FalkonML / falkon

Large-scale, multi-GPU capable, kernel solver

python machine-learning ai kernel pytorch kernel-methods large-scale-learning

Updated Feb 2, 2023
Python

IvanoLauriola / MKLpy

A package for Multiple Kernel Learning in Python

kernel-methods representation-learning mkl string-kernel multiple-kernel-learning boolean-kernel

Updated Feb 3, 2022
Python

jajupmochi / graphkit-learn

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

machine-learning paths pattern-recognition kernel-methods chemoinformatics graph-kernels graph-edit-distance walks graph-representations pre-image

Updated Jun 24, 2022
Jupyter Notebook

muammar / ml4chem

ML4Chem: Machine Learning for Chemistry and Materials

machine-learning kernel chemistry physics deeplearning kernel-methods materials-science

Updated Apr 9, 2022
Python

steven2358 / kafbox

A Matlab benchmarking toolbox for kernel adaptive filtering

signal-processing matlab kernel-methods kernel-adaptive-filtering

Updated May 12, 2021
MATLAB

ssydasheng / Neural-Kernel-Network

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

machine-learning kernel-methods gaussian-processes extrapolation

Updated Jul 10, 2018
Python

wittawatj / kernel-gof

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

python machine-learning statistical-tests kernel-methods goodness-of-fit

Updated Jul 11, 2019
Python

wittawatj / interpretable-test

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

python machine-learning statistical-tests kernel-methods

Updated May 13, 2018
OpenEdge ABL

SAG-KeLP / kelp-full

machine-learning kernel-methods clustering-algorithm online-learning kernel-functions batch-learning tree-kernel

Updated Oct 30, 2021
Java

TheDatumOrg / grail-python

"GRAIL: Efficient Time-Series Representation Learning"

clustering classification kernel-methods representation-learning similarity-search learning-to-compress

Updated Dec 20, 2021
Python

ChenHongruixuan / KPCAMNet

[IEEE TCYB 2021] Official Python implementation for Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

python deep-learning remote-sensing convolutional-neural-networks kernel-methods unsupervised-learning kpca change-detection kpca-convolution vhr-images

Updated Dec 13, 2022
Python

danieljprice / splash

SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations

astronomy visualisation astrophysics plotting kernel-methods smoothed-particle-hydrodynamics fits interpolation-methods

Updated Feb 22, 2023
Fortran

steven2358 / kmbox

Kernel Methods Toolbox for Matlab/Octave

signal-processing matlab kernel-methods

Updated Jun 14, 2019
MATLAB

raamana / kernelmethods

Foundational library for Kernel methods in pattern analysis and machine learning

data-science machine-learning kernel svm scikit-learn data-structures pattern-analysis pattern-recognition metric-learning kernel-methods kernels mkl kernel-functions multiple-kernel-learning

Updated Feb 7, 2023
Python

dnbaker / frp

FRP: Fast Random Projections

indexing simd kernel-methods fftw3-binding fht orthogonal-random-projections jl-transform dy dynamic-continuous-indexing

Updated Jun 1, 2020
C++

MLDroid / subgraph2vec_gensim

Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"

deep-learning word2vec gensim kernel-methods graph-kernels

Updated Apr 29, 2017
Python

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