Here are
148 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Aug 1, 2021
Python
Scala Library/REPL for Machine Learning Research
Updated
Apr 15, 2021
Scala
Learning kernels to maximize the power of MMD tests
Updated
Jan 11, 2018
Python
Official pytorch implementation of the paper "Deep Kernel Transfer in Gaussian Processes for Few-shot Learning"
Updated
Apr 27, 2021
Python
Large-scale, multi-GPU capable, kernel solver
Updated
Aug 23, 2021
Python
A package for Multiple Kernel Learning in Python
Updated
Aug 14, 2020
Python
ML4Chem: Machine Learning for Chemistry and Materials
Updated
May 15, 2021
Python
A python package for graph kernels, graph edit distances, and graph pre-image problem.
Updated
Jun 25, 2021
Jupyter Notebook
Updated
Jul 10, 2018
Python
A Matlab benchmarking toolbox for kernel adaptive filtering
Updated
May 12, 2021
MATLAB
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
Updated
Jul 11, 2019
Python
NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
Updated
May 13, 2018
OpenEdge ABL
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"
Updated
Apr 29, 2017
Python
FRP: Fast Random Projections
Kernel Methods Toolbox for Matlab/Octave
Updated
Jun 14, 2019
MATLAB
Foundational library for Kernel methods in pattern analysis and machine learning
Updated
May 28, 2020
Python
This is the page for the book Digital Signal Processing with Kernel Methods.
Updated
Jun 22, 2017
MATLAB
SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations
Updated
Aug 11, 2021
Fortran
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
Updated
Oct 13, 2017
Python
Implementation of LMS, RLS, KLMS and KRLS filters in Python
Updated
Aug 2, 2019
Jupyter Notebook
PyTorch implementation of Stein Variational Gradient Descent
Updated
Apr 9, 2019
Jupyter Notebook
ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
Updated
Jun 30, 2020
Python
Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
Updated
May 4, 2020
Python
NeurIPS 2018. Linear-time model comparison tests.
Updated
Feb 15, 2020
Jupyter Notebook
Implicit generative models and related stuff based on the MMD, in PyTorch
Updated
Sep 24, 2020
Jupyter Notebook
Curated materials for different machine learning related summer schools
Updated
Mar 8, 2021
Jupyter Notebook
Learning with operator-valued kernels
Updated
Jun 20, 2018
Python
UAI 2015. Kernel-based just-in-time learning for expectation propagation
Updated
Jan 31, 2019
MATLAB
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