MingqiangZhao/IAIR-Kernel-adaptive-filtering

Linear Regression for different loss functions

Language: Python - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: about 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: over 1 year 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: about 17 hours ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

xhan97/StreaKHC

A novel incremental hierarchical clustering algorithm (KDD 22)

Language: Python - Size: 108 MB - Last synced at: 7 months ago - Pushed at: 11 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: over 1 year ago - Pushed at: over 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: 28 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: over 1 year ago - Pushed at: over 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: over 1 year ago - Pushed at: over 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: over 1 year ago - Pushed at: over 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: over 1 year ago - Pushed at: over 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: over 1 year ago - Pushed at: over 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: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - 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: over 1 year ago - Pushed at: over 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: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

dimitra-maoutsa/DeterministicParticleFlowControl

Repository for Deterministic Particle Flow Control framework

Language: Python - Size: 42.3 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 1

aryandeshwal/BODi

Language: Python - Size: 29.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 2

yujinhanml/MKLR

This function fit a Multi-class Kernel Logistic Regression model to the data. The return list contains the estimated kernel weights as well as the original data to perform predictions.There are two types of kernel, they are 'RBF' and 'polynomial'.

Language: R - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

ljacquin/KRMM

Solves kernel ridge regression within the the mixed model framework. All the estimated components and parameters, e.g. BLUP of dual variables and BLUP of random predictor effects for the linear kernel (also known as RR-BLUP), are available.

Language: R - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

SAG-KeLP/kelp-input-generator

Utility project to generate KeLP compliant representations

Language: Java - Size: 58.6 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 1

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: about 2 months ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 1

rishi1999/random-projections

Summer@ICERM 2020 - Random Projections

Language: Jupyter Notebook - Size: 114 MB - Last synced at: 11 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

TheDatumOrg/grail-python

"GRAIL: Efficient Time-Series Representation Learning"

Language: Python - Size: 156 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 40 - Forks: 40

mevers303/csci3453-lab2

University of Colorado Operating System Concepts (CSCI-3453) Lab #2: Process scheduler Simulation (3 algorithms demo)

Language: C - Size: 308 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

CaptainSharf/SMAI-Assigns

Assignments done as a part of my SMAI-Course

Language: Python - Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

birajpandey/KernelODETransport

Code for "Diffeomorphic Measure Matching with Kernels for Generative Modeling.'

Language: Python - Size: 1.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TADSGroup/KernelODETransport

Code for "Diffeomorphic Measure Matching with Kernels for Generative Modeling"

Language: Python - Size: 1.33 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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

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: almost 7 years ago - Stars: 17 - Forks: 7

neonnnnn/pyrfm

A library for random feature maps in Python.

Language: C - Size: 22.8 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 14 - Forks: 4

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: about 5 years ago - Stars: 6 - Forks: 3

Nikeshbajaj/Regularization_for_Machine_Learning

Regularization for Machine Learning-RegML GUI

Language: Jupyter Notebook - Size: 772 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 2

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: over 1 year ago - Pushed at: almost 8 years ago - Stars: 7 - Forks: 0

Vineethpaul09/Fake-twitter-account-Detection-Machine-Learning-and-Deep-Learning-Accuracy-Datasetss

Datasets for Twitter Accounts Genuine and fake user detection using ML and Deep Learning Technics

Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: about 8 years ago - Stars: 26 - Forks: 11

ryanhill1/Quantum-Variational-Classifier

Implementations of quantum variational classifier and quantum kernel estimator proposed in Havlíček, V., Córcoles, A.D., Temme, K. et al. Supervised learning with quantum-enhanced feature spaces. Nature 567, 209–212 (2019). https://doi.org/10.1038/s41586-019-0980-2

Language: Jupyter Notebook - Size: 90.8 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

williamagyapong/data-mining-projects

Houses a series of projects I worked on for a course in Data Mining that I took in my Ph.D. Data Science program at UTEP in the Fall of 2022. Covers areas such as Regularized Logistic Regression, Optimization, Kernel Methods, PageRank, Kernel PCA, Association Rule Mining, Anomaly Detection, Parametric/Nonparametric Nonlinear Regression, etc.

Size: 3.34 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

maremun/quffka

Quadrature-based features for kernel approximation

Language: Python - Size: 13.6 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 16 - Forks: 2

juselara1/MLSA

Tensorflow 2.0 implementation of the M-LSA method.

Language: Python - Size: 46.9 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 0

NickGeneva/kernel_smoothers

Tutorials on kernel smoothing techniques

Language: Jupyter Notebook - Size: 21.7 MB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 1 - 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: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2

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: almost 2 years ago - Stars: 54 - Forks: 46

kyomangold/ETH-MachineLearning

Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.

Language: Python - Size: 568 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

felix-laumann/MMD_HSIC_non-stationary

MMD and HSIC for non-stationary random processes

Language: Jupyter Notebook - Size: 9.69 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

ashish1610dhiman/enhanced_index_tracking

Enhanced Index Tracking

Language: Jupyter Notebook - Size: 92.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2

TUM-ITR/koopcore

Koopman Kernels for Learning Dynamical Systems from Trajectory Data

Language: Python - Size: 3.72 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

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: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 5

HidKim/SurvPP

Code for "Survival Permanental Processes for Survival Analysis with Time-Varying Covariates" at NeurIPS2023

Language: Python - Size: 4.37 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

lucw0/wiggle-bandwidth

repository for a small research project on an idea related to the bandwidth parameter in scale-dependent kernel learning

Language: TeX - Size: 310 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ConnorWatts/kpo

Policy optimization algorithm with trust regions based on the Maximum Mean Discrepancy (MMD) metric. Investigates the efficiency and effectiveness of the approach as well as exploring the different techniques used to approximate the policy update.

Size: 1.95 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MatiasEtcheve/MVA

Assignments and Projects from the MVA Master at ENS Paris-Saclay

Language: Jupyter Notebook - Size: 138 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

wittawatj/k2abc

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

Language: Matlab - Size: 927 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 6

macsharma/T-EFS-LS-MCM

Repository for non-Mercer multiclass EFS-LS-MCM presented in IJCNN 2018

Language: Python - Size: 195 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

theodumont/kernel-methods-challenge-2022

Our contribution for the 2022 Kernel Methods for Machine Learning Data Challenge

Language: Jupyter Notebook - Size: 794 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

axelv/recursive-nystrom

Python implementation of RLS-Nystrom

Language: Python - Size: 165 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 3

JoshuaSimon/Kernel-Learning

A repository about kernel learning and its applications.

Language: Jupyter Notebook - Size: 20.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

omerahmed12345elhussien/Kernel_methods_course

Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

rafaol/active-learning-conditional-mean-embeddings

Code repository for the UAI 2020 paper "Active learning of conditional mean embeddings via Bayesian optimisation" by S. R. Chowdhury, R. Oliveira and F. Ramos.

Language: Python - Size: 142 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

IPL-UV/sakame

Derivatives of Kernel methods: Theory and toy examples with Earth System Data

Language: Jupyter Notebook - Size: 82.1 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

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: about 2 months ago - Pushed at: over 8 years ago - Stars: 42 - Forks: 18

raffaello-camoriano/Enitor

Enitor provides the MATLAB implementation of several large-scale kernel methods.

Language: MATLAB - Size: 68.7 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 0

tomqingo/GORF

Implementation of the paper "Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels"

Language: MATLAB - Size: 7.49 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

SAG-KeLP/kelp-full

Language: Java - Size: 53.3 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 51 - Forks: 10

jakobgerstenlauer/SVN_versus_RVM

We compared the predictive accuracy and sparsity of support vector machines and relevance vector machines for a range of synthetic data sets differing in signal-to-noise ratio and other measures of difficulty.

Language: R - Size: 225 KB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 3

beatabb/Kernel_Based_Machine_Learning-course Fork of Maddi97/kmlmm_kdd

Project for Kernel-Based Machine Learning and Multivariate Modelling course at UPC Barcelona (FIB)

Language: Jupyter Notebook - Size: 21.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

bdvllrs/kernel-method-challenge 📦

Kernel Method to classify biological sequences.

Language: Python - Size: 72.3 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

algostatml/UNSUPERVISED-ML

Unsupervised machine learning algorithm. Classical and kernel methods for non-linearly seperable data.

Language: Python - Size: 1.54 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 2

sudeepsahadevan/tfKernel

Transcription factor and kernel analysis

Language: C++ - Size: 3.49 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

wittawatj/kernel-mod

NeurIPS 2018. Linear-time model comparison tests.

Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 17 - 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: about 2 years ago - Pushed at: over 6 years ago - Stars: 65 - Forks: 16

wittawatj/kernel-cgof

UAI 2020. Kernel goodness-of-fit tests for conditional density models.

Language: Python - Size: 1.36 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 0

wittawatj/interpretable-test

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

Language: OpenEdge ABL - Size: 5.22 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 59 - Forks: 21

wittawatj/fsic-test

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

Language: Python - Size: 134 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 6

jgurakuqi/slt-based-spam-filters

This project aims to develop three spam filters using different Machine Learning techniques. The techniques to be used are Support Vector Machines with Linear, Polynomial and Radial Basis Function kernels (together with their angular versions), Naive Bayes and K-Nearest Neighbours.

Language: Jupyter Notebook - Size: 827 KB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

bacnguyencong/k-KISSME

Kernel Distance Metric Learning using Pairwise Constraints for Person Re-Identification

Language: Matlab - Size: 5.81 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 2

AlbertDominguez/infinite-width-NNs

Infinite-width neural networks from a practical point of view

Language: Python - Size: 10.7 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

yoyolicoris/ML_HW3

My implementation of homework 3 for the Machine Learning class in NCTU (course number 5088).

Language: Python - Size: 2.62 MB - Last synced at: 9 days ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

maxkvant/LinearizedNNs

Language: HTML - Size: 111 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

mlampros/KernelKnn

Kernel k Nearest Neighbors in R

Language: R - Size: 431 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 5

plutoniumm/QKerns 📦

Documents, visualisation and references in service of understanding Kernel fns

Language: HTML - Size: 10.4 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

EthanJamesLew/Cats-And-Dogs-Demo

STAT 671 Cats and Dogs Classifier Demo

Language: Jupyter Notebook - Size: 88.1 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

sebastienmeyer2/molecule-type-prediction

Prediction of molecule type in Python.

Language: Python - Size: 1.58 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

xuedong/machine-learning-summer-schools

Curated materials for different machine learning related summer schools

Language: Jupyter Notebook - Size: 1.19 GB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 9

jpaillard/KernelChallenge

Data Challenge - Kernel methods

Language: Python - Size: 804 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

theophilec/kernel-methods

KRR, KLR, SVM for DNA sequence classification. KMML project 2021.

Language: Python - Size: 1.25 GB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

aalto-ics-kepaco/scca-hsic

MATLAB implementation of SCCA-HSIC

Language: Matlab - Size: 64.5 KB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 2

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: over 2 years ago - Pushed at: about 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: over 2 years ago - Pushed at: over 8 years ago - Stars: 40 - Forks: 17

shagunuppal/Encryption-Decryption-Device-Linux

Kernel Modules for Encryption and Decryption Devices for a Linux System

Language: C - Size: 182 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 1

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: over 1 year ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 3

tommasoturchi/SUKESAT

SUpervised KErnel-based Sentiment Analysis Tool

Language: C++ - Size: 129 KB - Last synced at: over 2 years ago - Pushed at: over 10 years ago - Stars: 2 - Forks: 0

namratadeka/mmd-b-fair

MMD-B-Fair: Learning Fair Representations with Statistical Testing (AISTATS 2023)

Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Abhipanda4/GMMN-Pytorch

Implementation of Generative Moment Matching Networks in pytorch

Language: Python - Size: 21.6 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 3

wonghang/VCA

Vanishing Component Analysis implemented in python

Language: Python - Size: 14.6 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

antoninschrab/ksdagg

KSDAgg package implementing the KSDAgg test proposed in KSD Aggregated Goodness-of-fit Test by Schrab, Guedj and Gretton: https://arxiv.org/abs/2202.00824 NeurIPS 2022

Language: Python - Size: 6.84 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

antoninschrab/FL-MMDAgg

Language: Python - Size: 59.6 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Zedrichu/Machine-Learning-Models

A collection of Machine Learning model implementations with detailed descriptions of the algorithms used.

Language: Jupyter Notebook - Size: 47.1 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Akatsuki96/adabkb

Implementation of Ada-BKB a scalable Gaussian Process bandit optimization algorithm

Language: Python - Size: 9.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

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

axelv/KSC_tensorflow 📦

Implementation of clustering network with automatic feature extraction for NILM.

Language: Python - Size: 20.5 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 0

menon92/os-lab

Operatins System & System Programming Lab Work

Language: C - Size: 150 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 2