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Name: stanleybai
Type: User
Name: stanleybai
Type: User
Papers on Computational Advertising
基于Spark的大数据项目
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
数据科学竞赛知识、代码、思路
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
A framework for large scale recommendation algorithms.
本推荐算法教程主要是针对具有机器学习基础并想找推荐算法岗位的同学,教程由推荐算法基础、推荐算法入门赛、新闻推荐项目及推荐算法面经组成,形成了一个完整的从基础到实战再到面试的闭环。
基于Github Action的定时HITsz疫情上报脚本,开箱即用
A dissertation template for Harbin Institute of Technology, ShenZhen (HITSZ), including bachelor, master and doctor dissertations
HIT各种常用模板
lc题解
吴恩达机器学习coursera课程,学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng
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等,包含经典推荐系统数据集criteo 、movielens等
Classic papers and resources on recommendation
优质的推荐算法资源汇总
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
A Curated List of Must-read Papers on Recommender System.
machine learning
Wechat RS Algorithm Competiotion
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.