wangsenhong

multiview-learning

3D-Machine-Learning

A resource repository for 3D machine learning

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)

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

DeepLearning_tutorials

The deeplearning algorithms implemented by tensorflow

Demo-of-Multiple-Kernel-Clustering-with-Neighbor-Kernel-Subspace-Segmentation

Multiple Kernel Clustering with Neighbor Kernel Subspace Segmentation

DressAlso

The algorithm for Subspace Clustering

DSS-MSC

Multi-view subspace clustering

gcn

Implementation of Graph Convolutional Networks in TensorFlow

GMNN

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.

GNNPapers

Must-read papers on graph neural network (GNN)

graph-based-deep-learning-literature

Graph-Neural-Network-Review

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.

Late-Fusion-Incomplete-Multi-view-Clustering

Late Fusion Incomplete Multi-view Clustering

Machine-Learning-Session

Machine-Learning-Study-Path-March-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn

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.

multi-view

Multi-view-LRSSC

Matlab implementation of multi-view low-rank sparse subspace clustering

Multiple-Kernel-k-Means-Clustering-with-Matrix-Induced-Regularization

matlab code for AAAI16：Multiple Kernel k-Means Clustering with Matrix-Induced Regularization

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

pykernels

Python library for working with kernel methods in machine learning

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

StratiPy

Graph regularized nonnegative matrix factorization (GNMF) in Python

TPAMI_EEIMVC

Matlab code for TPAMI2020：Efficient and Effective Regularized Incomplete Multi-view Clustering

word2vec_numpy

Word2Vec implementation using numpy