YeongHyeon Park (@YeongHyeon)
github

YeongHyeon

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  • Stars
    star
    729
  • Global Rank 41,054 (Top 2 %)
  • Followers 100
  • Following 47
  • Registered about 8 years ago
  • Most used languages
    Python
         98.5 %
    Java
         1.5 %

Top repositories

1

ResNeSt-TF2

TensorFlow implementation of "ResNeSt: Split-Attention Networks"
Python
68
star
2

R-CNN_LIGHT

Regional-Convolution Neural Network for blink detection based on contouring.
Python
66
star
3

Super-Resolution_CNN

Implementation of "Image Super-Resolution using Deep Convolutional Network"
Python
41
star
4

CVAE-AnomalyDetection-PyTorch

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Python
39
star
5

MemAE-TF2

TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"
Python
25
star
6

CNN_Own_Dataset

CNN example for training your own datasets.
Python
24
star
7

Super-Resolution_CNN-PyTorch

Implementation of 'Image Super-Resolution using Deep Convolutional Network'
Python
23
star
8

adVAE

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
Python
19
star
9

GANomaly-PyTorch

Implementation of GANomaly with MNIST dataset
Python
18
star
10

FARED_for_Anomaly_Detection

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"
Python
17
star
11

Preprocessing-Method-for-STEMI-Detection

Official source code of "Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG"
Python
16
star
12

MNIST_AttentionMap

Attention mechanism with MNIST dataset
Python
15
star
13

RIAD-PyTorch

PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"
Python
15
star
14

Arrhythmia_Detection_RNN_and_Lyapunov

Official source code of Arrhythmia Detection
Python
15
star
15

RepVGG-TF2

Python
14
star
16

Lung_Extraction_from_CXR

Lung Extraction from Chest X-ray for Efficient Computing
Python
14
star
17

SKNet-TF2

TensorFlow implementation of "Selective Kernel Networks"
Python
13
star
18

PIPGCN-TF2

Unofficial TensorFlow implementation of Protein Interface Prediction using Graph Convolutional Networks.
Python
11
star
19

GANomaly-TF

TensorFlow implementation of GANomaly (with MNIST dataset)
Python
10
star
20

DGM-TF

TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.
Python
10
star
21

GhostNet

TensorFlow implementation of GhostNet: More Features from Cheap Operations.
Python
10
star
22

ReXNet-TF2

TensorFlow implementation of "ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network"
Python
9
star
23

Compare_Activation_Function

Compare vanishing gradient problem case by case.
Python
9
star
24

Skip-GANomaly

Implementation of Skip-GANomaly with MNIST dataset
Python
9
star
25

DINO_MNIST-PyTorch

Pytorch implementation of "Emerging Properties in Self-Supervised Vision Transformers" (a.k.a. DINO)
Python
9
star
26

white-box-layer

Deep Learning Package based on TensorFlow.
Python
8
star
27

Normalizing-Flow-TF2

TensorFlow implementation of "Variational Inference with Normalizing Flows"
Python
8
star
28

f-AnoGAN-TF

TensorFlow implementation of f-AnoGAN (with MNIST dataset)
Python
8
star
29

SWA-Gaussian-TF2

TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
Python
8
star
30

ConAD-PyTorch

Implementation of Consistency-based anomaly detection (ConAD)
Python
7
star
31

MemAE

Implementation of Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection.
Python
7
star
32

CGAN-TF

TensorFlow implementation of Conditional Generative Adversarial Nets (CGAN) with MNIST dataset.
Python
6
star
33

Context-Encoder

TensorFlow implementation of "Context Encoders: Feature Learning by Inpainting" with CelebAMask-HQ Dataset.
Python
6
star
34

Download-ChestX-ray8

Script for download the dataset 'ChestX-ray8'
Python
6
star
35

WideResNet_WRN-TF2

TensorFlow implementation of "Wide Residual Networks"
Python
6
star
36

ResNet-with-SGDR-TF2

TensorFlow implementation of "SGDR: Stochastic Gradient Descent with Warm Restarts"
Python
6
star
37

ResNet-with-LRWarmUp-TF2

TensorFlow implementation of "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour"
Python
6
star
38

ResNet-TF2

TensorFlow implementation of "Deep Residual Learning for Image Recognition"
Python
6
star
39

ChopLifter

Customized classic game.
Java
6
star
40

CVAE-AnomalyDetection-TF2

Python
6
star
41

YeongHyeon

5
star
42

Sequence-Autoencoder

Sequence Autoencoder with UJI Pen Characters Dataset
Python
5
star
43

ResNeXt-TF2

TensorFlow implementation of "Aggregated Residual Transformations for Deep Neural Networks"
Python
5
star
44

MLP-Mixer-TF2

TensorFlow implementation of "MLP-Mixer: An all-MLP Architecture for Vision"
Python
5
star
45

GAN-TF

TensorFlow implementation of Generative Adversarial Networks (GAN) with MNIST dataset.
Python
4
star
46

WGAN-TF

TensorFlow implementation of Wasserstein GAN (WGAN) with MNIST dataset.
Python
4
star
47

DCRAW

DCRAW: Deep Convolutional Recurrent Attentive Writer
Python
4
star
48

Transformer-TF2

TensorFlow implementation of "Attention is all you need (Transformer)"
Python
4
star
49

ADAE-TF

TensorFlow implementation of Anomaly Detection with Adversarial Dual Autoencoders (ADAE) with MNIST dataset.
Python
4
star
50

ArcFace-TF2

TensorFlow implementation of "ArcFace: Additive Angular Margin Loss for Deep Face Recognition"
Python
4
star
51

CVAE-AnomalyDetection

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
Python
4
star
52

DRAW-MNIST

Python
3
star
53

Images-of-UJI-Pen

Showing images of UJI Pen Characters Dataset
3
star
54

ConAD

Implementation of Consistency-based anomaly detection (ConAD)
Python
3
star
55

Codility-Python

The solutions of the Codility lessons are provided. Each solution is written with python. The starting point for reading solutions is given in the following web link.
3
star
56

Network-in-Network-TF2

TensorFlow implementation of "Network In Network"
Python
3
star
57

Review_Presentations

3
star
58

XCeption-TF2

TensorFlow implementation of "Xception: Deep Learning with Depthwise Separable Convolutions"
Python
3
star
59

Shake-Shake

TensorFlow implementation of Shake-Shake Regularization.
Python
2
star
60

GhostNet-PyTorch

Python
2
star
61

Inception_Simplified-TF2

TensorFlow implementation of "Going Deeper with Convolutions"
Python
2
star
62

MLP-Mixer-PyTorch

Python
2
star
63

SENet-Simple

Implementation of Squeeze and Excitation Networks (SENet) with MNIST dataset
Python
2
star
64

Dacon-montly13_thawing-prediction

1
star
65

Glyph_Dataset

Glyph dataset
Python
1
star
66

Kaggle-MNIST

Python
1
star
67

LungCT_Super_Resolution

Python
1
star
68

GNN_with_MNIST

Python
1
star
69

Conference_History

1
star
70

CVAE

Implementation of Convolutional Variational Auto-Encoder (CVAE)
Python
1
star
71

Active-Learning

PyTorch implementation of "Learning Loss for Active Learning"
Python
1
star