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26 search results found
Graph2vec
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791
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Kernelgan
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265
Pyrcca
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176
Regularized kernel canonical correlation analysis in Python
Dgcnn
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136
Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
A2s2k Resnet
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132
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Ikc
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88
Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
Datascience
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65
Kelp Full
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53
Gckn
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47
Pytorch Implementation of Graph Convolutional Kernel Networks
Neural Tangent Kernel Uci
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45
Testing Nerual Tangent Kernel (NTK) on small UCI datasets
Dynamic Means
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37
A clustering library for large/temporally evolving datasets
Benchmark_dataset_for_graph_classification
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33
This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
Tribeflow
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31
TribeFlow's source code
Aster
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24
a python based module (bot) to generate kaggle baseline kernels
Dk For Tst
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22
This is the code for the paper "Learning Deep Kernels for Non-Parametric Two-Sample Tests" (ICML2020).
Examples Counterexamples
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19
Machine learning examples and counterexamples
Rehashing
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19
fast kernel evaluation in high dimensions via hashing
Pytorch Convcnp
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18
A PyTorch Implementation of Convolutional Conditional Neural Process.
Traffic_signs_recognition_cnn
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16
Traffic Sign Recognition by Convolutional Neural Network (TensorFlow)
Mlgkernel
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14
Implementation of the Multiscale Laplacian Graph Kernel
Blindsr_dataset_generator
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14
Downscale a set of images by randomly created kernels and save them
Zedenv Grub
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14
zedenv plugin for GRUB
Ck Nntest
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13
CK-NNTest: collaboratively validating, benchmarking and optimizing neural net operators across platforms, frameworks and datasets
Svm Kernels
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11
Goal of this project is to implement perceptron,Dual perceptron,Linear Kernel and RBF kernel without using any Machine Learning Libraries
Google Landmark Recognition Retrieval 2019
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10
Silver and Bronze medal solutions to the Kaggle challenges on Google Landmark Dataset
Classification Using Kmm Kernel Mean Matching
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10
Dataset Bias correction (Python)
Misttborn
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9
MISTTBORN exoplanet fitting code, and various associated codes
Awesome Graph Contrastive Learning
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9
Collection of resources related with Graph Contrastive Learning.
Cnn Based Hyperspectral Image Classification
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8
A TensorFlow implentation of fixed size kernel CNN
Pyrrha Pynode
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8
Python node implementation for Pyrrha version of Pandora Boxchain
Collective Kernel Learning
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8
Matlab Code for CoKL, which was proposed in Clustering on Multiple Incomplete Datasets via Collective Kernel Learning. ICDM 2013
Xsvm
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7
Kernel SVM in Torch 7
Cross_svm
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7
faster and simpler version of SVM learning software libsvm
Doublecnn
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7
Hepaccelerate
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6
Fast GPU and CPU kernels for HEP-specific data: the base library
Kaggle Titanic
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6
kaggle kernel for Titanic dataset
Kol
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6
Library for Kernel Online Learning
Message_passing_graph_kernels
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6
Diffupath
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5
A Python package for analyzing harmonized biological networks through diffusion algorithms
Kaggle_kernels
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5
It's contain a Data scince - Machine learning ,Data visualizations codes & Datasets
Scalablekmm
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5
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