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Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
Python implementation of Collective Matrix Factorization
Collaborative Deep Learning (CDL)
This is the Github repository containing the code for the Context-Aware Sequential Recommendation project for the Information Retrieval 2 course at the University of Amsterdam
Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.
An interpretable sequential three-way recommendation based on collaborative topic
Samples for users of the Yelp Academic Dataset
DeepWalk - Deep Learning for Graphs
Python implementation of "Factorizing Personalized Markov Chains for Next-Basket Recommendation"
Topic Modelling for Humans
GitHub LDA - Collaborative Topic Modeling for Recommending GitHub Repos
Must-read papers on graph neural networks (GNN)
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Representation learning on large graphs using stochastic graph convolutions.
Heterogeneous Graph Neural Network
hierarchical attention model
TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"
Combining Topic Models with Matrix Factorization for interpretable SOA recommendation
**Under construction**
Item2vec_tutorial_git
Code for our SIGIR 2018 paper "Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks". See the paper: https://dl.acm.org/citation.cfm?id=3209978.3210017
tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings
ifbd
Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
A movie recommender system based on Collaborative Filtering and Topic Modeling (LDA)
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.