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Name: CSE_LJL
Type: User
Name: CSE_LJL
Type: User
keras implementation about Deep Interest Network
An implementation of DKN (Deep Knowledge-Aware Network for News Recommendation) in PyTorch.
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
An implementation of a deep learning recommendation model (DLRM)
code for ICCV19 paper "Deep Meta Metric Learning"
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
Code for the NIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
fast library for ANN search and KNN graph construction
Source code of EvoGWP under review of IPDPS 2023
Extensible Scheduler for Mesos Frameworks
The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"
Topic Modelling for Humans
Code and dataset of ACL2019 Paper: Graph Neural Networks with Generated Parameters for Relation Extraction.
Implementation and experiments of graph embedding algorithms.
Graph Neural Networks for Social Recommendation, WWW'19
An other implementation of GRU4REC using PyTorch
Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"
Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"
Hierarchical Gating Networks for Sequential Recommendation
baseline method HGN, just like SASRec, change its evaluation to be the same as SASRec
Suite of contentious microbenchmarks
Data used in Immersive Recommendation WWW 2016 paper
Implementation for our paper in NeurIPS 2019
IRGAN SIGIR paper experimental code
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. (WWW'19)
Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, particularly CTR models for large-scale advertising and recommendation scenarios.
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.