wangsenhong Goto Github PK

graph-neural-network-review

graph-regularized-non-negative-matrix-factorization

La Factorización No Negativa de Matrices es un grupo de algoritmos cuyo objetivo es descomponer una matriz con entradas no negativas en el producto de dos matrices con la misma propiedad. La clásica NMF aproxima la factorización en el espacio euclideo si considerar la geometría intrínseca de los datos. El Graph Regularized Non Negative Matrix Factorization supone que los datos están sobre una variedad e incorpora esta información en la función de costo.

graphlab

* See all my Machine Leaning projects ! : Adaboost ensemble, Latent Dirichlet Allocation, Decision tree, Kmean, Logistic Regression, Latent Dirichlet Allocation , TF-IDF, Clustering, Image classification, Sentiment analysis, Recommendation, Gaussian Mixture Model, Nearest neighbors.

graphsage

Representation learning on large graphs using stochastic graph convolutions.

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.

hi-word

My first repository on GitHub

homebrew-science

:microscope: Scientific formulae for the Homebrew package manager

image-similarity-deep-learning

Finding similar images from a set of images by first feature extraction using pre trained VGG16 Convolutional Neural Network and then using cosine similarity for each pair

image_captioning

Generate captions for your images!

information-bottleneck-for-deep-learning

Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.

jeesite

JeeSite 是一个企业信息管理系统基础框架，Java EE（J2EE）快速开发框架，使用经典技术组合（Spring、Spring MVC、Apache Shiro、Hibernate、Bootstrap UI），包括核心模块如：组织机构、用户、权限授权、内容管理、工作流等。

jetty-embedded-spring-mvc

Example project for setting up embedded Jetty 8 with Spring-MVC, JSP and JSTL support (uses Maven).

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

lantern

:zap: Open Internet for everyone. Lantern is a free desktop application that delivers fast, reliable and secure access to the open Internet for users in censored regions. It uses a variety of techniques to stay unblocked, including P2P and domain fronting. Lantern relies on users in uncensored regions acting as access points to the open Internet.

late-fusion-incomplete-multi-view-clustering

Late Fusion Incomplete Multi-view Clustering

latex-ppt-template

Seven awesome latex ppt templates for researchers or students.

lightml.jl

Minimal and clean examples of machine learning algorithms implemented in Julia

lihang-code

《统计学习方法》的代码实现

low-rank-kernel-subspace-clustering

machine-learning

NTU EE Machine Learning 2017 Spring

machine-learning-1

my machine-learning tutorial

machine-learning-session

machine-learning-study-path-march-2019

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

machinelearning

Exercises for the Stanford/Coursera Machine Learning Class

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

matlab

medical-data

mfn_keras

simple keras implement for 《Memory Fusion Network for Multi-view Sequential Learning》

mgcnn

Multi-Graph Convolutional Neural Networks