EdisonLeeeee/SVD_HMM EdisonLeeeee/SVD_HMM

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • Created almost 5 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
EdisonLeeeee/SVD_HMM
github

EdisonLeeeee

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Python implement of SVD+HMM for face recognition.

More Repositories

1

Awesome-Masked-Autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
761
star
2

Graph-Adversarial-Learning

A curated collection of adversarial attack and defense on graph data.
Python
546
star
3

GraphGallery

GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
Python
458
star
4

Awesome-Learning-Resource

A curated list of all kinds of learning resources, blogs, books, videos and so on.
291
star
5

RS-Adversarial-Learning

A curated collection of adversarial attack and defense on recommender systems.
129
star
6

Awesome-Fair-Graph-Learning

Paper List for Fair Graph Learning (FairGL).
123
star
7

ICLR2023-OpenReviewData

ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
Jupyter Notebook
100
star
8

ICLR2022-OpenReviewData

ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference
Jupyter Notebook
84
star
9

GreatX

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Python
83
star
10

MaskGAE

[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
Python
73
star
11

SpikeNet

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Python
55
star
12

ICDM2022_competition_3rd_place_solution

3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs
Python
36
star
13

GraphData

A collection of graph data used for semi-supervised node classification.
34
star
14

DCIC-2023-Solution

DCIC2023 Fraud Risk Identification Competition Solution.
Jupyter Notebook
23
star
15

SpikeGCL

[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
Python
22
star
16

arxiv-daily

arxiv-daily
Python
12
star
17

Awesome-SAR-Detection

A curated list of SAR detection datasets.
9
star
18

GUARD

[CIKM 2023] GUARD: Graph Universal Adversarial Defense
Python
9
star
19

SGAttack

Official Repository for "Adversarial Attack on Large Scale Graph." [TKDE 2021]
Jupyter Notebook
9
star
20

Mooon

Graph Data Augmentation Library for PyTorch Geometric
Python
6
star
21

STEP

Python
6
star
22

MAGI

[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
Python
6
star
23

SAT

Python
5
star
24

SpikingNeuralNetworks

Spiking Neural Networks οΌˆθ„‰ε†²η₯žη»η½‘η»œθ°ƒη ”οΌ‰
5
star
25

MedianGCN

Official PyTorch implementation of MedianGCN and TrimmedGCN in Understanding Structural Vulnerability in Graph Convolutional Networks (IJCAI 2021).
Jupyter Notebook
5
star
26

CIKM22_FL_Competition

4th place (4/1746) solution of CIKM 2022 AnalytiCup Competition.
Python
4
star
27

GraphAdv

TensorFlow 2 implementation of state-of-the-arts graph adversarial attack and defense models (methods).
Python
4
star
28

GraphSSM

[arXiv 2024] State Space Models on Temporal Graphs: A First-Principles Study
4
star
29

EdisonLeeeee.github.io

Github pages
Python
3
star
30

BlockGCL

PyTorch implementation of Blockwise Graph Contrastive Learning (BlockGCL)
Python
3
star
31

SAR-Ship-Detection-Detectron2

SAR Ship detection with Detection2
Jupyter Notebook
3
star
32

CenterSAR

CenterNet for SAR ship detection based on Detectron2
Jupyter Notebook
2
star
33

SGC_tf2.0

Python implement of SGC with Tensorflow 2.0.
Jupyter Notebook
2
star
34

Hetero2Net

Python
2
star
35

EdisonLeeeee

1
star
36

tensorflow-jupyterlab-docker

Tensorflow 2.1 GPU with Python 3.6 and jupyterlab
Dockerfile
1
star
37

Introduction_to_graph_adversarial_learning

An introduction to graph adversarial learning
1
star
38

TemporalDatasets

1
star
39

DropPath

Implementation of DropPath: A Structured Dropout for Graph Neural Networks in PyTorch.
Python
1
star
40

glcore

graph learing toolbox
Cuda
1
star
41

lrGAE

Python
1
star