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Name: CSE_LJL
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Name: CSE_LJL
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Pytorch code for An Open-World Extension to Knowledge Graph Completion Models (AAAI 2019)
Combining relational context and relational paths for knowledge graph completion
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Embedding Projection for Knowledge Graph Completion
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
Classic papers and resources on recommendation
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Best Practices on Recommendation Systems
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
This is the official repository for the Recommender Systems course at Politecnico di Milano.
This is for the knowledge graph embedding recommendation framework – RKGE
This project contains several Deep Reinforcement Learning method and some experiments basd on OpenAi gym.
A PyTorch implementation of RippleNet
Python library to compute knowledge graph embeddings
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
A comprehensive survey of deep metric learning and related works
Tensorflow implementation of DeepFM for CTR prediction.
Temporal Pattern Attention for Multivariate Time Series Forecasting
A CLI tool generating traces of batch jobs in a cluster.
This is a project for data analysis from Alibaba and Google
Collaborative Translational Metric Learning (ICDM 2018)
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.