Alternatives and similar repositories for ant-learn-recsys

Users that are interested in ant-learn-recsys are comparing it to the libraries listed below

• 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
• qcymkxyc / RecSys
  项亮的《推荐系统实践》的代码实现
  ☆496Updated 4 years ago
• Shicoder / Deep_Rec
  存放推荐算法相关代码、文档、资料
  ☆256Updated 4 years ago
• ShaoQiBNU / YouTube_Recommendations
  YouTube推荐算法
  ☆111Updated 3 years ago
• wangruichens / recsys
  LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入，方便实际场景应用。
  ☆104Updated 5 years ago
• DSXiangLi / CTR
  CTR模型代码和学习笔记总结
  ☆393Updated 4 years ago
• wziji / deep_ctr
  ☆216Updated 5 years ago
• SSSxCCC / Recommender-System
  A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN a…
  ☆413Updated 4 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 year
• xiaogp / recsys_spark
  Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤
  ☆141Updated 5 years ago
• GavinHacker / recsys_core
  [推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).
  ☆302Updated 3 years ago
• ChuanyuXue / Recommender-Systems-Competition-TopSolutions
  推荐系统竞赛TOP开源解决方案汇总。
  ☆261Updated 3 years ago
• 1092798448 / RecSys
  推荐系统实践(基于近邻和LFM的推荐系统)
  ☆103Updated 7 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
• wangzhegeek / EGES
  ☆408Updated 5 months ago
• fuxuemingzhu / Summary-of-Recommender-System-Papers
  阅读过的推荐系统论文的归类总结，持续更新中…
  ☆380Updated 6 years ago
• chenxingqiang / YouTube-DNN-RecSys
  This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The re…
  ☆60Updated last week
• wangzhegeek / DSSM-Lookalike
  ☆207Updated 5 months 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）
  ☆91Updated 5 years ago
• wuxinping1992 / cf_gbdt_lr
  简单的实现推荐系统的召回模型和排序模型，其中召回模型使用协同过滤算法，排序模型使用gbdt+lr算法
  ☆58Updated 6 years ago
• xuetf / KDD_CUP_2020_Debiasing_Rush
  Solution to the Debiasing Track of KDD CUP 2020
  ☆160Updated 2 years ago
• Snail110 / recsys
  推荐系统实战
  ☆34Updated 5 years ago
• nosuggest / deep_learning
  基础的深度学习实验研究结果汇总笔记
  ☆508Updated 2 years ago
• isthegoal / recommendation_model_master
  自己学习推荐系统过程中用到的代码
  ☆50Updated 6 years ago
• StephenBo-China / recommendation_system_sort_model
  推荐系统排序模型复现
  ☆47Updated 4 years ago
• ttjjlw / esmm
  ctr、cvr预估
  ☆49Updated 4 years ago
• ShowMeAI-Hub / multi-task-learning
  TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
  ☆205Updated 3 years ago
• littlemesie / recommend-learning
  推荐算法学习
  ☆39Updated 2 years ago
• JianzhouZhan / Awesome-RecSystem-Models
  Implements of Awesome RecSystem Models with PyTorch/TF2.0
  ☆258Updated 5 years ago
• princewen / DeepLearning-500-questions
  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系sc…
  ☆107Updated 6 years ago