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Name: Odis Bauch
Type: User
Name: Odis Bauch
Type: User
基于Spark的电影推荐系统,包含爬虫项目、web网站、后台管理系统以及spark推荐系统
Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"
TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018
Neural Collaborative Filtering
Neural Graph Collaborative Filtering, SIGIR2019
PyTorch Implementation for Neural Graph Collaborative Filtering
Must-read papers on network representation learning (NRL) / network embedding (NE)
Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
Pyramid Stereo Matching Network (CVPR2018)
Code examples on Apache Spark using python
JULYEDU PyTorch Course
一些推荐系统相关论文的代码汇总
RecQ: A Python Framework for Recommender Systems (TensorFlow Based)
This is for the knowledge graph embedding recommendation framework – RKGE
A tensorflow implementation of RippleNet
A PyTorch implementation of RippleNet
Some algorithms about traditional and social recommendation.
Must-read papers on Recommender System.
Must-read papers on Social Recommender System.
spring boot 实践学习案例,是 spring boot 初学者及核心技术巩固的最佳实践。
Springboot bucket
Spring Cloud教程
project for spring cloud learning
tensorflow实战练习,包括强化学习、推荐系统、nlp等
LaTeX Thesis Template for Tsinghua University
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.