Cleanspeech317

Cleanspeech317

Geek Repo

Company:Communication University of China

Location:beijing

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Cleanspeech317's repositories

awesome-cs-books

经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

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CatGCN

CatGCN: Graph Convolutional Networks with Categorical Node Features, TKDE.

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competitive-recsys

A collection of resources for Recommender Systems (RecSys)

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dualgnn

DualGNN: Dual Graph Neural Network for Micro-video Recommendation

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ECommerceRecommendSystem

商品大数据实时推荐系统。前端:Vue + TypeScript + ElementUI,后端 Spring + Spark

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External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

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Fi_GNN

[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

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GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks.

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God-Of-BigData

专注大数据学习面试,大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

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halo

✍ 一款现代化的开源博客/CMS系统。

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IMP_GCN

Pytorch Implementation of Interest-Aware Message-Passing GCN for Recommender Systems

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Interview

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

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LGRec

Source code for CIKM2018 paper "Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network"

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linux-command

Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

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MMIN

Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities

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multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

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NLPer-Arsenal

收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中

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product-recommendation-system

:sunrise: 基于用户的协同过滤算法实现的商品推荐系统 https://github.com/MrQuJL/product-recommendation-system

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Recommendation-System-Using-GNNs

This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).

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RES-Interview-Notes

本项目是作者们根据个人面试和经验总结出的推荐系统(RES) 面试准备的学习笔记与资料,该资料目前包含 推荐各领域的 面试题积累。

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RS-Notes-Temp

部分RS论文笔记,临时展示

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team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

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Top-AI-Conferences-Paper-with-Code

Top-Conferences-Paper-with-Code (ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、NeurIPS、ICLR and etc)

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UMPR

Implementation using pytorch for the paper "Recommendation by Users' Multi-modal Preferences for Smart City Applications".

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