Topic: "kernel-methods"
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: 12 days ago - Pushed at: over 2 years ago - Stars: 4,790 - Forks: 739
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
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
tailhq/DynaML
Scala Library/REPL for Machine Learning Research
Language: Scala - Size: 215 MB - Last synced at: 21 days ago - Pushed at: about 2 years ago - Stars: 200 - Forks: 51
FalkonML/falkon
Large-scale, multi-GPU capable, kernel solver
Language: Python - Size: 7.54 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 177 - Forks: 20
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
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
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: 17 days ago - Pushed at: 17 days ago - Stars: 126 - Forks: 18
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: 3 months ago - Stars: 111 - Forks: 20
muammar/ml4chem
ML4Chem: Machine Learning for Chemistry and Materials
Language: Python - Size: 2.78 MB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 97 - Forks: 15
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
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
wittawatj/kernel-gof
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
Language: Python - Size: 3.47 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 65 - Forks: 16
danieljprice/splash
SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations
Language: Fortran - Size: 8.31 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 61 - Forks: 47
wittawatj/interpretable-test
NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
Language: OpenEdge ABL - Size: 5.22 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 59 - Forks: 21
ChenHongruixuan/KPCAMNet
[IEEE TCYB 2021] Official Python implementation for Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
Language: Python - Size: 4.17 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 54 - Forks: 46
SAG-KeLP/kelp-full
Language: Java - Size: 53.3 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 51 - Forks: 10
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
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
qiskit-community/prototype-quantum-kernel-training
Toolkit for training quantum kernels in machine learning applications
Language: Python - Size: 1.09 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 43 - Forks: 13
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: 2 months ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 12
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
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
raamana/kernelmethods
Foundational library for Kernel methods in pattern analysis and machine learning
Language: Python - Size: 7.15 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 42 - Forks: 11
annamalai-nr/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"
Language: Python - Size: 15.8 MB - Last synced at: 8 months ago - Pushed at: about 8 years ago - Stars: 42 - Forks: 18
TheDatumOrg/grail-python
"GRAIL: Efficient Time-Series Representation Learning"
Language: Python - Size: 156 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 40
ninja3697/Kernel-Adaptive-Filtering-in-Python
Implementation of LMS, RLS, KLMS and KRLS filters in Python
Language: Jupyter Notebook - Size: 2.97 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 40 - Forks: 10
DSPKM/DSPKM
This is the page for the book Digital Signal Processing with Kernel Methods.
Language: Matlab - Size: 12.3 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 40 - Forks: 17
4fra/CodMWKernelInjector
Undetected Call of duty: MW, Warzone kernel injector.
Language: C - Size: 316 KB - Last synced at: 8 days ago - Pushed at: 9 months ago - Stars: 35 - Forks: 16
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
lsorber/neo-ls-svm
Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
Language: Python - Size: 321 KB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 33 - Forks: 3
annamalai-nr/subgraph2vec_tf
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
Language: Python - Size: 2.63 MB - Last synced at: 7 days ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 11
392781/scikit-ntk
Neural Tangent Kernel (NTK) module for the scikit-learn library
Language: Python - Size: 61.5 KB - Last synced at: 12 days ago - Pushed at: 9 months ago - Stars: 25 - Forks: 0
operalib/operalib
Learning with operator-valued kernels
Language: Python - Size: 32.6 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 3
wittawatj/cadgan
ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
Language: Python - Size: 34.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 22 - Forks: 4
lightonai/supervised-random-projections
Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
Language: Python - Size: 60.5 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 21 - Forks: 3
SebastianAment/CovarianceFunctions.jl
Lazy, structured, and efficient operations with kernel matrices.
Language: Julia - Size: 1.99 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 4
larslorch/stadion
Causal Modeling with Stationary Diffusions, AISTATS 2024
Language: Python - Size: 375 KB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 18 - Forks: 2
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
mlampros/KernelKnn
Kernel k Nearest Neighbors in R
Language: R - Size: 431 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 5
wittawatj/kernel-mod
NeurIPS 2018. Linear-time model comparison tests.
Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 3
wittawatj/kernel-ep
UAI 2015. Kernel-based just-in-time learning for expectation propagation
Language: MATLAB - Size: 28.8 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 17 - Forks: 7
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: over 4 years ago - Stars: 16 - Forks: 1
maremun/quffka
Quadrature-based features for kernel approximation
Language: Python - Size: 13.6 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 16 - Forks: 2
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
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
aalto-ics-kepaco/gradKCCA
Implementations of gradKCCA
Language: MATLAB - Size: 59.6 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 11
wittawatj/fsic-test
ICML 2017. Kernel-based adaptive linear-time independence test.
Language: Python - Size: 134 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 6
TangleSpace/hotstepper
A Numpy based step function library for analysis and profit. More than just taking you up and down.
Language: Python - Size: 304 MB - Last synced at: 24 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 1
xuedong/machine-learning-summer-schools
Curated materials for different machine learning related summer schools
Language: Jupyter Notebook - Size: 1.19 GB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 9
lucasrodes/kPCA-denoising-python
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
Language: Python - Size: 3.98 MB - Last synced at: 3 months ago - Pushed at: about 8 years ago - Stars: 15 - Forks: 11
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: 2 days ago - Pushed at: 2 days ago - Stars: 14 - Forks: 1
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
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: 28 days ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 3
antoine-moulin/MVA
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
Language: Jupyter Notebook - Size: 162 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 2
neonnnnn/pyrfm
A library for random feature maps in Python.
Language: C - Size: 22.8 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 4
bghojogh/Principal-Component-Analysis
The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual SPCA, and Kernel SPCA
Language: Python - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 5
fredhallgren/nystrompca
Efficient non-linear PCA through kernel PCA with the Nyström method
Language: Jupyter Notebook - Size: 4.43 MB - Last synced at: 29 days ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 0
IPL-UV/jaxkern 📦
A lightweight didactic library of kernel methods using the back-end JAX.
Language: Jupyter Notebook - Size: 45.2 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 3
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
Abhipanda4/GMMN-Pytorch
Implementation of Generative Moment Matching Networks in pytorch
Language: Python - Size: 21.6 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 3
EthanJamesLew/koopmania
a little library to help me with things involving Koopman operators
Language: Python - Size: 168 KB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 2
SAG-KeLP/kelp-input-generator
Utility project to generate KeLP compliant representations
Language: Java - Size: 58.6 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 1
afarahi/kllr
Kernel Localized Linear Regression (KLLR)
Language: Python - Size: 27.9 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 4
mlesnoff/rchemo
R package for regression and discrimination, with special focus on chemometrics and high-dimensional data (This package is only maintained. The new current package is "Jchemo", under construction in Julia language)
Language: R - Size: 3.53 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 2
dimitra-maoutsa/DeterministicParticleFlowControl
Repository for Deterministic Particle Flow Control framework
Language: Python - Size: 42.3 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 1
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
gdkrmr/DRR
Dimensionality Reduction via Regression using Kernel Ridge Regression in R
Language: R - Size: 1.96 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2
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
wittawatj/kernel-cgof
UAI 2020. Kernel goodness-of-fit tests for conditional density models.
Language: Python - Size: 1.36 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 9 - 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: 8 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1
juselara1/MLSA
Tensorflow 2.0 implementation of the M-LSA method.
Language: Python - Size: 46.9 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 0
namanUIUC/NonlinearComponentAnalysis
Application of principal component analysis capturing non-linearity in the data using kernel approach
Language: Jupyter Notebook - Size: 27.7 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 4
wittawatj/k2abc
AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.
Language: Matlab - Size: 927 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 6
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: 12 days ago - Pushed at: 9 months ago - Stars: 7 - Forks: 0
HamidrezaEiv/KPCA-DeepONet
Nonlinear model reduction for operator learning
Language: Python - Size: 331 KB - Last synced at: 20 days ago - Pushed at: 9 months ago - Stars: 7 - Forks: 1
sergio94al/Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation
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.
Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 4
raffaello-camoriano/Enitor
Enitor provides the MATLAB implementation of several large-scale kernel methods.
Language: MATLAB - Size: 68.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 0
saeedghoorchian/An-epsilon-SVR-Approach-for-Model-Identification
Using ε-Support Vector Regression (ε-SVR) for identification of Linear Parameter Varying (LPV) dynamical systems
Language: Matlab - Size: 62.5 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 0
xhan97/IsoKernel
A scikit-learn-compatible module for Isolation Kernel.
Language: Python - Size: 89.8 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 6 - Forks: 2
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
antoninschrab/ksdagg-paper
Code for reproducible experiments presented in KSD Aggregated Goodness-of-fit Test. https://arxiv.org/abs/2202.00824 NeurIPS 2022
Language: Python - Size: 2.74 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0
aryandeshwal/BODi
Language: Python - Size: 29.3 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 2
Nikeshbajaj/Regularization_for_Machine_Learning
Regularization for Machine Learning-RegML GUI
Language: Jupyter Notebook - Size: 772 KB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2
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
tuanrpt/DCKM
Deep Cost-sensitive Kernel Machine Model - PAKDD 2020
Language: Python - Size: 5.36 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 3
jgreitemann/svm
C++ wrappers to libsvm for easy-to-use Support Vector Machines (SVM)
Language: C++ - Size: 280 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 2
Zhenyu-LIAO/RMT4RFM
A Random Matrix Approach for Random Feature Maps
Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 5
IsolationKernel/ikpykit
IKPyKit: Isolation Kernel Python toolKit
Language: Python - Size: 44.1 MB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 5 - 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
axelv/recursive-nystrom
Python implementation of RLS-Nystrom
Language: Python - Size: 165 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 3
austinhutchen/shell
A fully functional kernel shell coded in C!
Language: C++ - Size: 447 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0
kernel-matrix-benchmarks/kernel-matrix-benchmarks
Benchmark of kernel matrix-vector products and inversions (regression, system resolution).
Language: Python - Size: 18.4 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2
acabassi/klic
R package for KLIC: Kernel Learning Integrative Clustering
Language: R - Size: 22.4 MB - Last synced at: 21 days ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 3
sirCamp/tensorflow-kernels
Tensorflow implementation of most popular Kernel for kernel methods like SVM
Language: Python - Size: 160 KB - Last synced at: 6 days ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 0
xhan97/StreaKHC
A novel incremental hierarchical clustering algorithm (KDD 22)
Language: Python - Size: 108 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0
luca-pernigo/kernel_quantile_regression
Kernel quantile regression
Language: Jupyter Notebook - Size: 343 MB - Last synced at: 23 days ago - Pushed at: 10 months ago - Stars: 4 - Forks: 1
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
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
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: 24 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
