wubinzzu Goto Github PK
Name: bin wu
Type: User
Company: Zhengzhou University
Bio: 微信(Wechat): wubinzzu
Location: Henan, China
Name: bin wu
Type: User
Company: Zhengzhou University
Bio: 微信(Wechat): wubinzzu
Location: Henan, China
Gaussian Process Factorization Machines for Context-aware Recommendations
Graphical Model for Recommender Systems
Group Recommender System Thesis
TensorFlow implemenation of GRu4Rec model
Hete-CF: Social Recommendation using Heterogeneous Relations
code:Hidden factors and hidden topics: Understanding rating dimensions with review text.
Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
An implementation of the Hierarchical Embedding Model (HEM) for personalized product search
Python implementation of the Hybrid Matrix Factorisation model presented in "Bayesian hybrid matrix factorisation for data integration", to appear in AISTATS 2017.
This is the code for IEEE Intelligent Systems: Neural Cross-session Filtering
code for IJCAI'13 "Cross-domain collaborative filtering via bilinear multilevel analysis"
matlab code for ijcai17
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
a python implementation of various versions of the information bottleneck, including automated parameter searching
Jointly Modelling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)
Joint Representation Learning for Recommendation
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
Kernelized Bayesian Matrix Factorization
Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"
Using Keras to implement recommender systems
Knowledge-aware recommendation and knowledge graph related papers.
a novel collaborative filtering method incorporating lambda
Stand-alone pure Java library for linear algebra and machine learning
Matlab Implementation of the Local Collective Embeddings model
LibRec: A Java Library for Recommender Systems, see
librec application to movies recommender system
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.