Alternatives and similar repositories for RS-Models

Users that are interested in RS-Models are comparing it to the libraries listed below

• ChuanyuXue / Recommender-Systems-Competition-TopSolutions
  推荐系统竞赛TOP开源解决方案汇总。
  ☆263Updated 3 years ago
• km1994 / RS_paper_study
  推荐系统学习笔记
  ☆213Updated 2 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 8 months ago
• wj19971997 / NEWS-RECOMMENDATION
  ☆106Updated 4 years ago
• HuichuanLI / Recommand-Algorithme
  推荐算法实战(Recommend algorithm)
  ☆215Updated 3 months 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
  ☆577Updated 2 years ago
• ruyiluo / Reco-Res
  优质的推荐算法资源汇总
  ☆159Updated 3 years ago
• peiss / ant-learn-recsys
  推荐系统从入门到实战
  ☆166Updated 3 years ago
• datawhalechina / torch-rechub
  A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
  ☆584Updated last week
• HeartbreakSurvivor / RsAlgorithms
  all kinds of recommendation algorithms implement.
  ☆128Updated 4 years ago
• Prayforhanluo / CTR_Algorithm
  一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）
  ☆269Updated 4 months ago
• stasi009 / PracticalGuidetoRecSys
  《互联网大厂推荐算法实战》资料库
  ☆296Updated 2 years ago
• ZiyaoGeng / RSpaper-read
  Share Some Recommender System Paper I read.
  ☆69Updated 4 years ago
• zhaozhiyong19890102 / Recommender-System
  推荐系统综述
  ☆527Updated 2 years ago
• Shicoder / Deep_Rec
  存放推荐算法相关代码、文档、资料
  ☆256Updated 4 years ago
• littlemesie / recommend-tf2.0
  推荐系统之深度学习模型，框架采用tensorflow2
  ☆58Updated 3 years ago
• QikaiXu / Recommender-System-Pytorch
  基于 Pytorch 实现推荐系统相关的算法
  ☆182Updated 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！
  ☆708Updated 3 years ago
• Magic-Bubble / RecommendSystemPractice
  《推荐系统实践》代码实现
  ☆739Updated 6 years ago
• morningsky / Torch-RecHub
  A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.
  ☆83Updated 3 years ago
• mrchor / HiNet
  Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
  ☆89Updated last year
• yangxudong / feature_engineering
  ☆73Updated 2 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/
  ☆291Updated 4 years ago
• Jace-Yang / MLE-interview
  该仓库记录搜索推荐算法工程师的必备面试知识点+paper
  ☆48Updated 3 years ago
• DSXiangLi / CTR
  CTR模型代码和学习笔记总结
  ☆394Updated 4 years ago
• i-Jayus / RecSystem-Pytorch
  推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…
  ☆235Updated 2 years ago
• shawroad / DeepCTR-pytorch
  Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
  ☆67Updated last year
• ShowMeAI-Hub / multi-task-learning
  TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
  ☆205Updated 3 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
  ☆158Updated 2 years ago
• StephenBo-China / recommendation_system_sort_model
  推荐系统排序模型复现
  ☆47Updated 4 years ago