Alternatives and similar repositories for ctr-prediction

Users that are interested in ctr-prediction are comparing it to the libraries listed below

• ShowMeAI-Hub / multi-task-learning
  TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
  ☆212Updated 4 years ago
• ChuanyuXue / Recommender-Systems-Competition-TopSolutions
  推荐系统竞赛TOP开源解决方案汇总。
  ☆267Updated 4 years ago
• km1994 / RS_paper_study
  推荐系统学习笔记
  ☆217Updated 2 years ago
• peiss / ant-learn-recsys
  推荐系统从入门到实战
  ☆166Updated 3 years ago
• RainFung / Tianchi-AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
  1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
  ☆193Updated 5 years ago
• xmj-datawhale / TouTiaoRecoSysCourseware
  黑马头条推荐系统
  ☆104Updated 6 years ago
• chenghuige / pikachu2
  微信大数据2021 1st，qq浏览器2021 3rd，mind新闻推荐2020 1st，NAIC2020 AI+遥感影像 2nd
  ☆163Updated 3 years ago
• zxxwin / GBDT_LR
  广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践（附数据 + 代码）
  ☆93Updated 5 years ago
• Relph1119 / recommendation-system-practice-notes
  《推荐系统实践》代码与读书笔记，在线阅读地址：https://relph1119.github.io/recommendation-system-practice-notes
  ☆47Updated 5 years ago
• LogicJake / competition_baselines
  开源的各大比赛baseline
  ☆375Updated 3 years ago
• bettenW / 2018-iFLYTEK-Marketing-Algorithms-Competition-Finals-Rank1
  2018科大讯飞营销算法大赛（冠军方案）
  ☆95Updated 6 years ago
• taptapon / practice_of_intelligent_risk_control
  《智能风控实践指南：从模型、特征到决策》代码。 《智能风控实践指南：从模型、特征到决策》书籍配套Python代码。
  ☆124Updated 3 years ago
• Shicoder / Deep_Rec
  存放推荐算法相关代码、文档、资料
  ☆257Updated 4 years ago
• liuq4360 / recommender_systems_abc
  基于netflix prize 和 H&M开源数据集，从零开始构建企业级推荐系统。
  ☆97Updated 10 months ago
• yangxudong / feature_engineering
  ☆75Updated 2 years ago
• shexuan / wbdc2021_rank13
  ☆16Updated 4 years ago
• zhongqiangwu960812 / ReadPapaers
  本仓库记录自己读过的一些经典papers
  ☆44Updated 3 years ago
• peiss / ant-learn-tensorflow
  学习tensorflow
  ☆34Updated 5 years ago
• DSXiangLi / CTR
  CTR模型代码和学习笔记总结
  ☆395Updated 4 years ago
• large-scale-recsys-in-action / large-scale-recsys-in-action
  ☆46Updated 3 years ago
• jc-LeeHub / Recommend-System-tf2.0
  原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！
  ☆713Updated 3 years ago
• bottergpt / Tencent2020_Top5
  2020腾讯广告算法大赛 Top5 solution. https://algo.qq.com/
  ☆84Updated 4 years ago
• shenxiangzhuang / bank-competition
  2019厦门国际银行“数创金融杯”数据建模大赛
  ☆26Updated 4 years ago
• catqaq / StepIntoRecommenderSystems
  RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分
  ☆17Updated 3 years ago
• HuipengXu / wbdc2021_semifinal
  微信大数据赛初赛10th，复赛14th
  ☆32Updated 4 years ago
• Jesse-csj / TensorFlow_Practice
  推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/
  ☆293Updated 4 years ago
• ruyiluo / Reco-Res
  优质的推荐算法资源汇总
  ☆170Updated 3 years ago
• km1994 / RES-Interview-Notes
  该仓库主要记录 推荐系统 算法工程师相关的面试题
  ☆580Updated 2 years ago
• jackychancjcjcj / Competition_notebook
  数据竞赛笔记fork
  ☆82Updated 2 years ago
• ChuanyuXue / CIKM-2019-AnalytiCup
  1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
  ☆234Updated last month