GitHub topics: kernel-methods
e-gleba/win-kernel-hooks 📦
Language: C++ - Size: 117 KB - Last synced at: about 22 hours ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Katya-Incorporated/Apps
Katya ®️'s system apps are a constellation of technological wonders seamlessly integrated into one user-friendly ecosystem. Designed with precision and intuition, they serve as the digital backbone of Katya's world, each app tailored to streamline tasks, amplify productivity, and infuse creativity into everyday life.
Language: Kotlin - Size: 1.49 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

danieljprice/splash
SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations
Language: Fortran - Size: 8.29 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 61 - Forks: 47

Katya-Incorporated/Auditor
Hardware-based attestation / intrusion detection app for Android devices. It provides both local verification with another Android device via QR codes and optional scheduled server-based verification with support for alert emails. It uses hardware-backed keys and attestation support as the foundation and chains trust to the app for software checks.
Language: Java - Size: 1.53 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

Katya-Incorporated/Camera
Katya OS CosmoLens 📸 transcends conventional photography, merging advanced technology with artistic expression. This camera app is not just a tool, but a portal for crafting ethereal visual stories. Empowering Katya to capture moments in her unique universe, CosmoLens elevates photography to an art form with cutting-edge features and stunning eff.
Language: Kotlin - Size: 2.02 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 1

ljanss/Rbayz Fork of MarniTausen/BayzR
R package of bayz, a Bayesian mixed model and 'beyond mixed model' package
Language: C++ - Size: 3.39 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

JoshuaLampert/KernelInterpolation.jl
Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension
Language: Julia - Size: 2.61 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 14 - Forks: 1

zhangxiany-tamu/KDist
A Collection of Kernel and Distance Methods for Statistical Inference
Language: R - Size: 6.17 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 2 - Forks: 0

4fra/CodMWKernelInjector
Undetected Call of duty: MW, Warzone kernel injector.
Language: C - Size: 316 KB - Last synced at: 13 days ago - Pushed at: 9 months ago - Stars: 35 - Forks: 16

jajupmochi/graphkit-learn
A python package for graph kernels, graph edit distances, and graph pre-image problem.
Language: Jupyter Notebook - Size: 436 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 126 - Forks: 18

benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Language: Python - Size: 1.79 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 4,790 - Forks: 739

muammar/ml4chem
ML4Chem: Machine Learning for Chemistry and Materials
Language: Python - Size: 2.78 MB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 97 - Forks: 15

IsolationKernel/ikpykit
IKPyKit: Isolation Kernel Python toolKit
Language: Python - Size: 44.1 MB - Last synced at: 5 days ago - Pushed at: 2 months ago - Stars: 5 - Forks: 1

elies-ramon/kerntools
Kernel Functions and Tools for Machine Learning Applications
Language: R - Size: 4.45 MB - Last synced at: 30 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

EthanJamesLew/koopmania
a little library to help me with things involving Koopman operators
Language: Python - Size: 168 KB - Last synced at: 13 days ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 2

fdamore/QK
Projected Quantum Kernel: an implementation using qiskit
Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

qiskit-community/prototype-quantum-kernel-training
Toolkit for training quantum kernels in machine learning applications
Language: Python - Size: 1.09 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 43 - Forks: 13

tailhq/DynaML
Scala Library/REPL for Machine Learning Research
Language: Scala - Size: 215 MB - Last synced at: 27 days ago - Pushed at: about 2 years ago - Stars: 200 - Forks: 51

raamana/kernelmethods
Foundational library for Kernel methods in pattern analysis and machine learning
Language: Python - Size: 7.15 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 42 - Forks: 11

roomate/ONERA-Project
Sensitivity Analysis in space engineering using modern machine learning tools.
Language: Jupyter Notebook - Size: 4.61 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

rikardvinge/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.
Language: Python - Size: 30.4 MB - Last synced at: 17 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

ChenYW68/semi.SpaceTime.model
An Efficient Estimation Method for Semiparametric Models of Spatial-Temporal Data
Size: 672 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

BayesianRL/NonparametricVI.jl
Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming
Language: Julia - Size: 13.1 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 14 - Forks: 0

kvignesh1420/shallow_nc1
[NeurReps 2024, TMLR 2025] Can Kernel Methods Explain How the Data Affects Neural Collapse?
Language: Python - Size: 231 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Language: Jupyter Notebook - Size: 79.1 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 111 - Forks: 20

sigvaldm/localreg
Multivariate Local Polynomial Regression and Radial Basis Function Regression
Language: Python - Size: 873 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 50 - Forks: 5

larslorch/stadion
Causal Modeling with Stationary Diffusions, AISTATS 2024
Language: Python - Size: 375 KB - Last synced at: 24 days ago - Pushed at: 4 months ago - Stars: 18 - Forks: 2

awkhan3/ParametricTensorTrainKernel
Python implementation of the Parametric Tensor Train Kernel (PTTK) method.
Language: Python - Size: 5.38 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

djsutherland/opt-mmd
Learning kernels to maximize the power of MMD tests
Language: Python - Size: 97.7 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 210 - Forks: 73

lsorber/neo-ls-svm
Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
Language: Python - Size: 321 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 33 - Forks: 3

aynazadl/palin Fork of neuro-team-femto/palin
Python toolbox, Simulating psychophysical experiment and estimating representation and noise, Aynaz Adl Zarrabi, Ladislas Nalborczyk, JJ Aucouturier, © 2022-2025
Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

paulveillard/cybersecurity-windows-exploitation
A collection of awesome software, libraries, learning tutorials, documents and books, awesome resources and cool stuff about ARM and Windows Exploitation.
Size: 406 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 12

392781/scikit-ntk
Neural Tangent Kernel (NTK) module for the scikit-learn library
Language: Python - Size: 61.5 KB - Last synced at: 17 days ago - Pushed at: 9 months ago - Stars: 25 - Forks: 0

qw3rtman/random-feature-maps
Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC Dataset
Language: Python - Size: 1.08 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 5

roomate/MVA-Projects
Compilation of the projects carried out at MVA master.
Language: Jupyter Notebook - Size: 292 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PeymanMorteza/Metric-Preference-Learning-RKHS
Metric and Preference Learning in Reproducing Kernel Hilbert Spaces
Language: Python - Size: 4.45 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sylvaincom/anomaly-detection-PCA
Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.
Language: MATLAB - Size: 431 KB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1

FilippoMB/Time-Series-Cluster-Kernel
Kernel similarity for classification and clustering of multi-variate time series with missing values.
Language: Jupyter Notebook - Size: 4.63 MB - Last synced at: 29 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

luca-pernigo/kernel_quantile_regression
Kernel quantile regression
Language: Jupyter Notebook - Size: 343 MB - Last synced at: 28 days ago - Pushed at: 11 months ago - Stars: 4 - Forks: 1

xhan97/IsoKernel
A scikit-learn-compatible module for Isolation Kernel.
Language: Python - Size: 89.8 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 6 - Forks: 2

alihan1999/Kernel-Methods
Solutions to the homewroks and quizzes of the kernel methods course instructed by professor Julien Mairal
Language: Jupyter Notebook - Size: 753 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

fredhallgren/nystrompca
Efficient non-linear PCA through kernel PCA with the Nyström method
Language: Jupyter Notebook - Size: 4.43 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 0

Katya-Incorporated/Aurora-Store
About Aurora Store 📺 focused on security, minimalism and usability. Our app store is currently being used to distribute our own apps and the Google Play mirror for isolated download functionality of all apps that are available on the Google Play Market. In the future, it will be used for the possible distribution of builds of Katya ® 👽 Mobile OS.
Language: Kotlin - Size: 23.7 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 1

activatedgeek/svgd
PyTorch implementation of Stein Variational Gradient Descent
Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 43 - Forks: 4

polatory/polatory
Fast radial basis function interpolation and kriging for large scale data
Language: C++ - Size: 2.98 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 162 - Forks: 19

albertnieto/qcml
A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.
Language: Python - Size: 3.27 MB - Last synced at: 18 days ago - Pushed at: 9 months ago - Stars: 7 - Forks: 0

steven2358/kmbox
Kernel Methods Toolbox for Matlab/Octave
Language: MATLAB - Size: 70.3 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 51 - Forks: 30

NKI-CCB/TRANSACT
Python implementation of TRANSACT, a tool to transfer non-linear predictors of drug response from model systems to tumors.
Language: HTML - Size: 132 KB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

tylersupersad/comp0078-cw1
Supervised Learning (COMP0078) Coursework 1 at UCL: Exploration of linear regression, kernelized methods, and k-NN for predictive modeling and analysis.
Language: Python - Size: 1.24 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

omerwe/MKLMM
Multi Kernel Linear Mixed Models for Complex Phenotype Prediction
Language: Python - Size: 16 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 5

IvanoLauriola/MKLpy
A package for Multiple Kernel Learning in Python
Language: Python - Size: 458 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 129 - Forks: 45

steven2358/kafbox
A Matlab benchmarking toolbox for kernel adaptive filtering
Language: MATLAB - Size: 1.32 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 95 - Forks: 45

matteoilardi/ML_project
Machine learning for physiscs class: completed project
Language: Jupyter Notebook - Size: 628 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

HabibSlim/AdvancedLearningModels
Data challenge to predict the binding nature of DNA sequence regions to specific transcription factors, using kernel methods
Language: Python - Size: 164 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Katya-Incorporated/Pixel-7-and-Pixel-7-Pro-Kernel-Prebuilts
It was a fairly unexciting conclusion. When I reviewed the Google Pixel 7 Pro last year, I walked away with the impression of a phone that was a bit better in some important ways but wasn’t quite the superintelligent, time-saving device that Google claimed it was. It was just a good smartphone, not a smarter smartphone. But that was over six month
Language: C - Size: 965 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

BayesWatch/deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Language: Python - Size: 641 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 202 - Forks: 30

Katya-Incorporated/Kernel-Common
The Katya ® 👽 OS Kernel Common serves as the foundation for all devices running Katya OS, providing a unified and stable core. It is designed to ensure high performance, security, and compatibility across a wide range of hardware. By optimizing for privacy and decentralization, the common kernel supports seamless operation and customization for it
Language: C - Size: 1.5 GB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Katya-Incorporated/Application-repository
Each app within Katya ®️'s system is meticulously crafted to seamlessly integrate into her lifestyle, optimizing her productivity, nurturing her creativity, and safeguarding her digital footprint. They embody innovation, efficiency, and personalized functionality, making Katya's digital experience a true testament to cutting-edge technology.
Language: Python - Size: 358 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Katya-Incorporated/Linux-Hardened-Kernel
The core idea behind kernel hardening is this: we will never be able to get all of the security bugs out of our code, especially when we're dealing with a large and fast-moving program like the kernel. Beyond that, even when we fix security bugs, those fixes don't get out to the affected users; think of all the Android devices with no security.
Language: C - Size: 992 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Katya-Incorporated/Pixel-4a-5G-Pixel-5-and-Pixel-5a
In terms of design, the Pixel 5 looks similar to the $499 Pixel 4a 5G. And at 5.7 by 2.8 by 0.3 inches (HWD) and weighs 5.3 ounces, it’s almost the same size and weight as the $349 Pixel 4a. It’s currently available in black or sage, though Google showed a gray model at its launch event that we hope will be available in the future.
Language: C - Size: 456 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Katya-Incorporated/Pixel-6-and-Pixel-6-Pro-Kernel-Prebuilts
Ever since I got the Pixel 6 Pro, I’ve been reluctant to use it as my daily driver, opting instead to keep my secondary SIM in it. The smaller Pixel 5 remained my go-to phone. But for the purpose of this revisit, I set aside my pocketable Pixel 5 and made the leap to the 6 Pro. For the first few days, the change in size was nothing.
Language: C - Size: 1.29 GB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

Katya-Incorporated/Pixel-Fold-Kernel-Prebuilts
To Google’s credit, the Pixel Fold is a much more approachable device than the Z Fold 4. Rather than overwhelm you with possibilities, the Pixel places guardrails around what you can and can’t do, like limiting multitasking on the inner screen to two apps. It’s a friendlier device to someone who’s fresh to foldables.
Language: C - Size: 511 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Katya-Incorporated/Pixel-6a-Kernel-Prebuilts
The Google Pixel 6a arrived with a big challenge in front of it — reclaim the title of the best cheap phone to buy, particularly for those who prize top-notch cameras above all else. It wasn't an easy fight for the budget Pixel. Since the Google Pixel 5a arrived at the end of last summer, both Apple and Samsung have come out with low-cost options.
Language: C - Size: 1.2 GB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

Katya-Incorporated/.github
Breaking Boundaries: Katya ® 👽 OS Now Open to Developers, Paving the Way for Limitless Creativity and Advancements 📲✨
Size: 49.8 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

afarahi/kllr
Kernel Localized Linear Regression (KLLR)
Language: Python - Size: 27.9 MB - Last synced at: about 23 hours ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 4

HamidrezaEiv/KPCA-DeepONet
Nonlinear model reduction for operator learning
Language: Python - Size: 331 KB - Last synced at: 25 days ago - Pushed at: 10 months ago - Stars: 7 - Forks: 1

jkfitzsimons/IPyNotebook_MachineLearning
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
Size: 3.51 MB - Last synced at: 3 months ago - Pushed at: almost 10 years ago - Stars: 34 - Forks: 13

evanseitz/ManifoldEM_Python
ManifoldEM Python suite
Language: Python - Size: 27.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 15 - Forks: 3

Black-Swan-ICL/PyRKHSstats
A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).
Language: Python - Size: 1.8 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 3

Mojusko/stpy
Stochastic Process Library for Python
Language: Python - Size: 24 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 1

samisnotinsane/chbmit-seizure-prediction
Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.
Language: Jupyter Notebook - Size: 138 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 5

operalib/operalib
Learning with operator-valued kernels
Language: Python - Size: 32.6 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 3

SebastianAment/CovarianceFunctions.jl
Lazy, structured, and efficient operations with kernel matrices.
Language: Julia - Size: 1.99 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 4

majianthu/eval
Code for the Paper "Evaluating Independence and Conditional Independence Measures"
Language: R - Size: 43 KB - Last synced at: 19 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

ssydasheng/Neural-Kernel-Network
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
Language: Python - Size: 2.7 MB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 71 - Forks: 3

Fushen-Zhang/ODKL
This resp presents a probabilistic and online forecasting model. In detail, a deep kernel is proposed by integrating the deep soft Spiking Neural Networks into the Gaussian kernel, which is then applied to perform sparse Gaussian Process regression.
Language: Python - Size: 67.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 17 - Forks: 3

krichelj/ML_BGU_2020
Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020
Language: MATLAB - Size: 1.21 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

djsutherland/igms
Implicit generative models and related stuff based on the MMD, in PyTorch
Language: Jupyter Notebook - Size: 6.59 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 16 - Forks: 1

antoninschrab/dpkernel-paper
Reproducibility code for Differentially Private Permutation Tests: Applications to Kernel Methods, by Kim and Schrab
Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

sirCamp/tensorflow-kernels
Tensorflow implementation of most popular Kernel for kernel methods like SVM
Language: Python - Size: 160 KB - Last synced at: 12 days ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 0

MehdiJmlkh/Machine-Learning-Course-Homeworks-S2024
Machine Learning course, Spring 2024, University of Tehran, Dr. M Tavassolipour and Dr. MRA Dehaqani
Language: Jupyter Notebook - Size: 46.6 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

dnbaker/frp
FRP: Fast Random Projections
Language: C++ - Size: 4.38 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 43 - Forks: 6

gdefe/nvark-kernel
Official repository for the paper "Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings" (NeurIPS 2023)
Language: Python - Size: 10.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0

MingqiangZhao/IAIR-Kernel-adaptive-filtering
Linear Regression for different loss functions
Language: Python - Size: 3.91 KB - Last synced at: 11 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

DanielMoraDC/deep-kernel
Work on adding kernel layer in deep networks.
Language: Python - Size: 6.55 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

jrjthompson/R-package-nonsmooth
Functions for conducting regression estimation on nonsmooth data
Language: R - Size: 608 MB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

FalkonML/falkon
Large-scale, multi-GPU capable, kernel solver
Language: Python - Size: 7.54 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 177 - Forks: 20

gletarte/pbrff
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior
Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

aalto-ics-kepaco/scca-hsic
MATLAB implementation of SCCA-HSIC
Language: Matlab - Size: 64.5 KB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 2

xhan97/StreaKHC
A novel incremental hierarchical clustering algorithm (KDD 22)
Language: Python - Size: 108 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

birajpandey/SVGD-reimplementation
Code for reimplementing "Stein Variational Gradient Descent (SVGD)" method.
Language: Python - Size: 2.29 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

gdkrmr/DRR
Dimensionality Reduction via Regression using Kernel Ridge Regression in R
Language: R - Size: 1.96 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

antoninschrab/mmdfuse
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
Language: Python - Size: 27.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 0

antoninschrab/mmdfuse-paper
Reproducibility code for MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting, by Biggs, Schrab, and Gretton: https://arxiv.org/abs/2306.08777
Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

antoninschrab/mmdagg-paper
Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.15073
Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 15 - Forks: 1

antoninschrab/agginc
AggInc package implementing the MMDAggInc, HSICAggInc and KSDAggInc tests proposed in Efficient Aggregated Kernel Tests using Incomplete U-statistics by Schrab, Kim, Guedj and Gretton: https://arxiv.org/abs/2206.09194 NeurIPS 2022
Language: Python - Size: 36.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

antoninschrab/dckernel-paper
Reproducibility code for Robust Kernel Hypothesis Testing under Data Corruption, by Schrab and Kim
Language: Jupyter Notebook - Size: 7.58 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

antoninschrab/dpkernel
dpkernel package implementing dpMMD and dpHSIC from Differentially Private Permutation Tests: Applications to Kernel Methods, by Kim and Schrab
Language: Python - Size: 14.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

antoninschrab/agginc-paper
Reproducibility code for Efficient Aggregated Kernel Tests using Incomplete U-statistics, by Schrab, Kim, Guedj and Gretton: https://arxiv.org/abs/2206.09194 NeurIPS 2022
Language: Jupyter Notebook - Size: 9.06 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

antoninschrab/mmdagg
MMDAgg package implementing the MMDAgg test proposed in MMD Aggregated Two-Sample Test by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.15073
Language: Python - Size: 43 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1
