Alternatives and similar repositories for 36

Users that are interested in 36 are comparing it to the libraries listed below

• jyfeather / ad-reading
  跟踪计算广告涉及的召回排序模型、特征工程相关的经典论文
  ☆82Updated 5 years ago
• HanXiaoyang / CTR_NN
  基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）
  ☆208Updated 7 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
• jizhihui / fm_python
  implement fm demo with python
  ☆51Updated 6 years ago
• fire717 / Recommendation-system
  推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo
  ☆173Updated 4 years ago
• chengstone / kaggle_criteo_ctr_challenge-
  This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。
  ☆361Updated 6 years ago
• lujiaying / MovieTaster-Open
  A practical movie recommend project based on Item2vec.
  ☆281Updated 4 years ago
• qcymkxyc / RecSys
  项亮的《推荐系统实践》的代码实现
  ☆496Updated 4 years ago
• 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
• wzhe06 / SparkCTR
  CTR prediction model based on spark(LR, GBDT, DNN)
  ☆917Updated 5 years ago
• bettenW / Tencent2019_Finals_Rank1st
  2019腾讯广告算法大赛完整代码（冠军）
  ☆626Updated 5 years ago
• analysys / 2018_Analysys_2nd_Algorithm_Competition
  2018第二届易观算法大赛
  ☆85Updated 6 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
• peiss / ant-learn-recsys
  推荐系统从入门到实战
  ☆166Updated 3 years ago
• talentlei / PaperList
  report reading paper list
  ☆92Updated 6 years ago
• gutouyu / ML_CIA
  公众号: 机器学习荐货情报局 所有代码
  ☆551Updated 6 years ago
• wziji / deep_ctr
  ☆216Updated 5 years ago
• JiDong-CS / icme2019-bytedance-grand-challenge
  字节跳动短视频内容理解和推荐 Track2 Top8
  ☆282Updated 6 years ago
• wangle1218 / Advertising-algorithm-competition
  2018、2019 腾讯广告算法大赛/2018IJCAI 阿里妈妈搜索广告转化预测竞赛/讯飞广告营销算法/OGeek
  ☆172Updated 5 years ago
• stasi009 / Recommend-Estimators
  Classical RecSys algorithms implemented by using TensorFlow Estimators
  ☆184Updated 6 years ago
• stasi009 / NumpyWDL
  Implement Wide & Deep algorithm by using NumPy
  ☆156Updated 6 years ago
• Snail110 / recsys
  推荐系统实战
  ☆34Updated 5 years ago
• yangxudong / papers
  算法相关的各种论文和slides
  ☆41Updated 6 years ago
• duboya / CTR-Prediction
  Sharing the CTR Prediction original paper and personal study notes
  ☆146Updated 5 years ago
• wangru8080 / gbdt-lr
  gbdt+lr
  ☆158Updated 6 years ago
• qiaoguan / deep-ctr-prediction
  CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
  ☆929Updated 5 years ago
• guoday / Tencent2019_Preliminary_Rank1st
  The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.
  ☆709Updated 4 years ago
• wepe / PPD_RiskControlCompetition
  3rd Place Solution for PPD Risk Control Competition
  ☆343Updated 8 years ago
• neal668 / LightGBM-GBDT-LR
  a python code of applying GBDT+LR for CTR prediction
  ☆333Updated 7 years ago
• aister2020 / KDDCUP_2020_Debiasing_1st_Place
  ☆172Updated 5 years ago