Pinned Repositories
3D-Machine-Learning
A resource repository for 3D machine learning
A-LaTeX-Demo-for-IEEE
LaTeX Demo for IEEE
Absent-Multiple-Kernel-Learning-Algorithms
awesome-cbir-papers
📝Awesome and classical image retrieval papers
awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
BMVC
Binary Multi-View Clustering
CBIR_EXPLORE
对图像检索技术进行探索
CCA-images-text
Canonical Correlation Analysis for joint representations of images and tags
LaTeX-PPT-Template
Seven awesome latex ppt templates for researchers or students.
multiview-learning
wangsenhong's Repositories
wangsenhong/multiview-learning
wangsenhong/3D-Machine-Learning
A resource repository for 3D machine learning
wangsenhong/Absent-Multiple-Kernel-Learning-Algorithms
wangsenhong/awesome-cbir-papers
📝Awesome and classical image retrieval papers
wangsenhong/awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
wangsenhong/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
wangsenhong/DeepLearning_tutorials
The deeplearning algorithms implemented by tensorflow
wangsenhong/Demo-of-Multiple-Kernel-Clustering-with-Neighbor-Kernel-Subspace-Segmentation
Multiple Kernel Clustering with Neighbor Kernel Subspace Segmentation
wangsenhong/DressAlso
The algorithm for Subspace Clustering
wangsenhong/DSS-MSC
Multi-view subspace clustering
wangsenhong/gcn
Implementation of Graph Convolutional Networks in TensorFlow
wangsenhong/GMNN
wangsenhong/GNN_molecules
The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.
wangsenhong/GNNPapers
Must-read papers on graph neural network (GNN)
wangsenhong/graph-based-deep-learning-literature
wangsenhong/Graph-Neural-Network-Review
wangsenhong/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
wangsenhong/Late-Fusion-Incomplete-Multi-view-Clustering
Late Fusion Incomplete Multi-view Clustering
wangsenhong/Machine-Learning-Session
wangsenhong/Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
wangsenhong/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
wangsenhong/multi-view
wangsenhong/Multi-view-LRSSC
Matlab implementation of multi-view low-rank sparse subspace clustering
wangsenhong/Multiple-Kernel-k-Means-Clustering-with-Matrix-Induced-Regularization
matlab code for AAAI16：Multiple Kernel k-Means Clustering with Matrix-Induced Regularization
wangsenhong/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
wangsenhong/pykernels
Python library for working with kernel methods in machine learning
wangsenhong/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
wangsenhong/StratiPy
Graph regularized nonnegative matrix factorization (GNMF) in Python
wangsenhong/TPAMI_EEIMVC
Matlab code for TPAMI2020：Efficient and Effective Regularized Incomplete Multi-view Clustering
wangsenhong/word2vec_numpy
Word2Vec implementation using numpy