Pinned Repositories
adVAE
Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
CNN_Own_Dataset
CNN example for training your own datasets.
CVAE-AnomalyDetection-PyTorch
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
FARED_for_Anomaly_Detection
Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"
MemAE-TF2
TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"
R-CNN_LIGHT
Regional-Convolution Neural Network for blink detection based on contouring.
ResNeSt-TF2
TensorFlow implementation of "ResNeSt: Split-Attention Networks"
Super-Resolution_CNN
Implementation of "Image Super-Resolution using Deep Convolutional Network"
Super-Resolution_CNN-PyTorch
Implementation of 'Image Super-Resolution using Deep Convolutional Network'
SWA-Gaussian-TF2
TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
YeongHyeon's Repositories
YeongHyeon/Super-Resolution_CNN
Implementation of "Image Super-Resolution using Deep Convolutional Network"
YeongHyeon/Super-Resolution_CNN-PyTorch
Implementation of 'Image Super-Resolution using Deep Convolutional Network'
YeongHyeon/SKNet-TF2
TensorFlow implementation of "Selective Kernel Networks"
YeongHyeon/DGM-TF
TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.
YeongHyeon/GANomaly-TF
TensorFlow implementation of GANomaly (with MNIST dataset)
YeongHyeon/GhostNet
TensorFlow implementation of GhostNet: More Features from Cheap Operations.
YeongHyeon/Skip-GANomaly
Implementation of Skip-GANomaly with MNIST dataset
YeongHyeon/ReXNet-TF2
TensorFlow implementation of "ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network"
YeongHyeon/f-AnoGAN-TF
TensorFlow implementation of f-AnoGAN (with MNIST dataset)
YeongHyeon/MemAE
Implementation of Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection.
YeongHyeon/CGAN-TF
TensorFlow implementation of Conditional Generative Adversarial Nets (CGAN) with MNIST dataset.
YeongHyeon/CVAE-AnomalyDetection-TF2
YeongHyeon/ResNet-TF2
TensorFlow implementation of "Deep Residual Learning for Image Recognition"
YeongHyeon/ResNet-with-LRWarmUp-TF2
TensorFlow implementation of "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour"
YeongHyeon/ResNet-with-SGDR-TF2
TensorFlow implementation of "SGDR: Stochastic Gradient Descent with Warm Restarts"
YeongHyeon/WideResNet_WRN-TF2
TensorFlow implementation of "Wide Residual Networks"
YeongHyeon/Download-ChestX-ray8
Script for download the dataset 'ChestX-ray8'
YeongHyeon/ResNeXt-TF2
TensorFlow implementation of "Aggregated Residual Transformations for Deep Neural Networks"
YeongHyeon/ArcFace-TF2
TensorFlow implementation of "ArcFace: Additive Angular Margin Loss for Deep Face Recognition"
YeongHyeon/GAN-TF
TensorFlow implementation of Generative Adversarial Networks (GAN) with MNIST dataset.
YeongHyeon/WGAN-TF
TensorFlow implementation of Wasserstein GAN (WGAN) with MNIST dataset.
YeongHyeon/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.
YeongHyeon/Images-of-UJI-Pen
Showing images of UJI Pen Characters Dataset
YeongHyeon/Network-in-Network-TF2
TensorFlow implementation of "Network In Network"
YeongHyeon/XCeption-TF2
TensorFlow implementation of "Xception: Deep Learning with Depthwise Separable Convolutions"
YeongHyeon/Inception_Simplified-TF2
TensorFlow implementation of "Going Deeper with Convolutions"
YeongHyeon/SENet-Simple
Implementation of Squeeze and Excitation Networks (SENet) with MNIST dataset
YeongHyeon/Shake-Shake
TensorFlow implementation of Shake-Shake Regularization.
YeongHyeon/Dacon-montly13_thawing-prediction
YeongHyeon/Kaggle-MNIST