Pinned Repositories
A-to-Z-Resources-for-Students
Curated list of resources for college students
AgeGenderDeepLearning
BinaryOptimization
A general binary code optimization method
caffe-reid
A Discriminatively Learned CNN Embedding for Person Re-identification
cnnshapes
Visualizing intermediate activation in Convolutional Neural Networks with Keras
Code
ConsistentGraphLearning
MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
deep-learning-keras-tensorflow
# Deep Learning with Keras and Tensorflow
Image-Denoising-using-Deep-Learning
azhengzhou's Repositories
azhengzhou/A-to-Z-Resources-for-Students
Curated list of resources for college students
azhengzhou/Image-Denoising-using-Deep-Learning
azhengzhou/AgeGenderDeepLearning
azhengzhou/cnnshapes
Visualizing intermediate activation in Convolutional Neural Networks with Keras
azhengzhou/Code
azhengzhou/ConsistentGraphLearning
MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
azhengzhou/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
azhengzhou/Deep-Subspace-Clustering
Description pending...
azhengzhou/Deep-subspace-clustering-networks
azhengzhou/DeepClustering
Methods and Implements of Deep Clustering
azhengzhou/DeepHash-Papers
Must-read papers on deep learning to hash (DeepHash)
azhengzhou/DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
azhengzhou/DetNet_pytorch
An implementation of DetNet: A Backbone network for Object Detection.
azhengzhou/gmc
GMC: Graph-based Multi-view Clustering (IEEE TKDE)
azhengzhou/Image-classification-using-CNN-Vgg16-keras
azhengzhou/keras-attention-mechanism
Attention mechanism Implementation for Keras.
azhengzhou/keras-texture
tf.keras framework for deep texture recognition & fine-grained image classification models
azhengzhou/LinearStyleTransfer
This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).
azhengzhou/Multi-view-LRSSC
Matlab implementation of multi-view low-rank sparse subspace clustering
azhengzhou/Neural-Style-Transfer
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
azhengzhou/Neural-Style-Transfer-Papers
:pencil2: Neural Style Transfer: A Review
azhengzhou/OCSC
Code for "Online convolutional sparse coding (TIP 2018)".
azhengzhou/pic
Spectral Perturbation Meets Incomplete Multi-view Data
azhengzhou/S5C
Selective Sampling-based Scalable Sparse Subspace Clustering (NeurIPS 19')
azhengzhou/SoftKMeans
Implementation of Deep Soft-K means
azhengzhou/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
azhengzhou/spectral-density
Hessian spectral density estimation in TF and Jax
azhengzhou/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
azhengzhou/tf_classification
Training, evaluation and testing code for image classification using TensorFlow
azhengzhou/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch