QinghaiZheng's repositories
SPC
Neurocomputing 2019 Clustering with similarity preserving
SpectralNet
Deep network that performs spectral clustering
Tensor_RPCA
Tensor Robust Principal Component Analysis via t-SVD
svae
code for Structured Variational Autoencoders
lindaedynamics_icml2018
Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
DAC-tensorflow
Tensorflow implementation of Deep Adaptive Image Clustering
GDLnotes
Google Deep Learning Notes（TensorFlow教程）
mdr_tcca
Multi-view dimensionality reduction using tensor canonical correlation analysis
splitbrainauto
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
LibADMM
A Library of ADMM for Sparse and Low-rank Optimization
Tensor-Robust-Principal-Component-Analysis-TRPCA
Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
Robust_KSVD
MATLAB and Python code to implement Robust Dictionary Learning exploiting KSVD variants.
plotConfMat
Plots a confusion matrix (classification)
Robust-PCA-RPCA
To implement movement and background segmentation in this regard, a novel solution of obtaining the movement of people and complex backgrounds by using RPCA has been created
LRSD-TNNSR
This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a Sparse Regularizer"
robust-continuous-clustering
Robust continuous clustering, from @shahsohil. rebased to remove large file.
sdne-keras
Keras implementation of Structural Deep Network Embedding, KDD 2016
Easy-deep-learning-with-Keras
Keras tutorial for beginners (using TF backend)
myfriedman
Friedman test for non parametric two way ANalysis Of VAriance
lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
IJCAI2018
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification
VIB-pytorch
Pytorch implementation of Deep Variational Information Bottleneck
MVCF
NECO 18: Adaptive structure concept factorization for multiview clustering
LearningWithNoisyLabels
Implementation of a state-of-art algorithm from the paper “Learning with Noisy Labels” , which is the first one providing “guarantees for risk minimization under random label noise without any assumption on the true distribution.”
DeepLDA_TLASGR_MCMC
Matlab Code for Deep latent Dirichlet allocation with topic-layer-adaptive stochastic gradient Riemannian MCMC
ML-Experiments
整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。
clustering-nips-2017
Code for "Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering" - Bayesian Deep Learning Workshop (NIPS 2017)
SwMC-IJCAI17
Source code for the published paper "Self-Weighted Multiview Clustering with Multiple Graphs" IJCAI 2017.
AMGL-IJCAI16
Source code for the published paper "Parameter-Free Auto-Weighted Multiple Graph Learning" IJCAI 2016
IB_demo
A very simple code+example implementing the Information bottleneck (IB) algorithm (matlab)