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Name: xinjuanli
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Name: xinjuanli
Type: User
计算机考研 408真题与答案
Papers on Computational Advertising
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Google Research
剑桥雅思
LeetCode Top 100 Liked Questions | Top Interview Questions | LeetCode 用户最喜欢的100题 | 面试最容易被问到的题
python 数据结构与算法 leetcode 算法题与书籍 刷算法全靠套路与总结!Crack LeetCode, not only how, but also why.
LeetCode 刷题攻略:配思维导图,将近200道经典算法题目刷题顺序、经典算法模板、共60w字的详细图解,以及难点视频题解。按照刷题攻略上的顺序来刷题,让你在算法学习上不再迷茫!🔥🔥给个star支持一下吧!🚀
BAT程序员自己的简历模板分享出来了 。技术简历追求简单明了,避免没有必要的花哨修饰,大家可以fork到自己仓库中,基于这个模板进行修改。
Recommendation Algorithm大规模推荐算法库,包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM,TiSAS,AutoFIS等,包含经典推荐系统数据集criteo 、movielens等
基于Scrapy的QQ音乐爬虫(QQ Music Spider),爬取歌曲信息、歌词、精彩评论等,并且分享了QQ音乐中排名前6400名的内地和港台歌手的49万+的音乐语料
Classic papers and resources on recommendation
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
该仓库主要记录 推荐系统 算法工程师相关的面试题
Some algorithms about traditional and social recommendation.
A Deep Learning Recommender System
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.