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
CatGCN
CatGCN: Graph Convolutional Networks with Categorical Node Features, TKDE.
competition-baseline
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
competitive-recsys
A collection of resources for Recommender Systems (RecSys)
ECommerceRecommendSystem
商品大数据实时推荐系统。前端：Vue + TypeScript + ElementUI，后端 Spring + Spark
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Fi_GNN
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
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...
halo
✍ 一款现代化的开源博客/CMS系统。
IMP_GCN
Pytorch Implementation of Interest-Aware Message-Passing GCN for Recommender Systems
Interview
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
LGRec
Source code for CIKM2018 paper "Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network"
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
MMIN
Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities
multimodal-deep-learning
This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.
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
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
Recommendation-System-Using-GNNs
This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).
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。
RS-Notes-Temp
部分RS论文笔记，临时展示
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。
Top-AI-Conferences-Paper-with-Code
Top-Conferences-Paper-with-Code (ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、NeurIPS、ICLR and etc)
UMPR
Implementation using pytorch for the paper "Recommendation by Users' Multi-modal Preferences for Smart City Applications".