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A collection of important graph embedding, classification and representation learning papers with implementations.
netlsd
deepwalk
node2vec
graph2vec
graph-kernel
graph-kernels
kernel-methods
node-embedding
graph-embedding
network-embedding
weisfeiler-lehman
deep-graph-kernels
attention-mechanism
graph-classification
structural-attention
graph-attention-model
classification-algorithm
graph-attention-networks
graph-convolutional-networks
graph-representation-learning
Created
2018-07-14
422 commits to master branch, last one about a year ago
Scala Library/REPL for Machine Learning Research
Created
2015-02-16
2,239 commits to master branch, last one 3 years ago
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Created
2019-10-10
53 commits to master branch, last one 2 years ago
Large-scale, multi-GPU capable, kernel solver
Created
2020-06-16
363 commits to master branch, last one 4 months ago
Fast radial basis function interpolation for large scale data
Created
2017-05-29
619 commits to main branch, last one 7 days ago
A package for Multiple Kernel Learning in Python
Created
2016-07-22
152 commits to master branch, last one about a year ago
A python package for graph kernels, graph edit distances, and graph pre-image problem.
Created
2018-06-05
617 commits to master branch, last one 9 months ago
ML4Chem: Machine Learning for Chemistry and Materials
Created
2018-12-14
432 commits to master branch, last one 3 years ago
A Matlab benchmarking toolbox for kernel adaptive filtering
Created
2013-04-10
287 commits to master branch, last one 4 years ago
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
sindy
time-delay
autoencoder
forecasting
autoencoders
data-science
poincare-map
kernel-methods
neural-network
sindy-algorithm
machine-learning
stroboscopic-map
conservation-laws
dynamical-systems
physics-informed-learning
autoencoder-neural-network
dynamic-mode-decomposition
universal-approximation-theorem
physics-informed-neural-networks
extended-dynamic-mode-decomposition
Created
2022-03-09
144 commits to main branch, last one 3 months ago
[IEEE TCYB 2021] Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
Created
2021-02-27
19 commits to master branch, last one 10 months ago
SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations
Created
2017-01-17
3,767 commits to master branch, last one 4 days ago
This repository has no description...
Created
2015-11-16
68 commits to development branch, last one 3 years ago
Multivariate Local Polynomial Regression and Radial Basis Function Regression
Created
2019-05-08
95 commits to master branch, last one about a year ago
"GRAIL: Efficient Time-Series Representation Learning"
Created
2021-12-13
4 commits to main branch, last one 2 years ago
Toolkit for training quantum kernels in machine learning applications
Created
2021-12-09
76 commits to main branch, last one 8 months ago
A collection of awesome software, libraries, learning tutorials, documents and books, awesome resources and cool stuff about ARM and Windows Exploitation.
Created
2021-12-27
22 commits to main branch, last one 11 months ago
Undetected Call of duty: MW, Warzone kernel injector.
Created
2022-05-15
6 commits to main branch, last one 2 months ago
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 appl...
Created
2023-05-19
72 commits to main branch, last one 2 months ago