Pinned Repositories
ADIC2D
Modular 117 line MATLAB code to perform two-dimensional Digital Image Correlation
Adversarially-Learned-Anomaly-Detection
ALAD (Proceedings of IEEE ICDM 2018) official code
anomagram
Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
Anomaly-Detection-for-Sequential-Data
Implementation of 2 VAE architectures with LSTM and GRU for anomaly detection on sequential data
AnomalyDetection_VAE_LSTM
antialiased-cnns
pip install antialiased-cnns to improve stability and accuracy
autoencoder_practice
AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
BackgroundMattingV2
Real-Time High-Resolution Background Matting
bearing_condition_state_classifier
Condition state classification for structural bearings
Kingdary's Repositories
Kingdary/FIMA
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems (TPAMI 2019)
Kingdary/DANN
pytorch implementation of Domain-Adversarial Training of Neural Networks
Kingdary/f-AnoGAN
Code for reproducing f-AnoGAN training and anomaly scoring
Kingdary/FCN-for-Semantic-Segmentation
Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
Kingdary/VAE-for-Anomaly-Detection
MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
Kingdary/Adversarially-Learned-Anomaly-Detection
ALAD (Proceedings of IEEE ICDM 2018) official code
Kingdary/Vibration-Measurement
检测视频中振动结构的振动频率,像素振幅。可检测亚像素级别振动。
Kingdary/LSTM-VAE
Unsupervised Deep Learning for Temporal Multi-Omics
Kingdary/Ensemble-Methods-for-Image-Classification
In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.
Kingdary/Tensor-Robust-Principal-Component-Analysis-TRPCA
Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
Kingdary/Sparse-Autoencoders
Sparse Autoencoders using FashionMNIST dataset
Kingdary/FCN-TensorFlow
An Implementation of Fully Convolutional Networks in Tensorflow.
Kingdary/Sparse-Autoencoder
Kingdary/VaDE
Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
Kingdary/vess2ret
A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.
Kingdary/QtEVM
C++ implementation of EVM(Eulerian Video Magnification), based on OpenCV and Qt.
Kingdary/MotionMagnification
Eulerian, Lagrangian, and Phase-Based Motion Magnification in MATLAB