Alternatives and similar repositories for FM-FFM

Users that are interested in FM-FFM are comparing it to the libraries listed below

• stasi009 / Recommend-Estimators
  Classical RecSys algorithms implemented by using TensorFlow Estimators
  ☆184Updated 6 years ago
• SongDark / DeepFM_keras
  A simple DeepFM.
  ☆102Updated 7 years ago
• wziji / deep_ctr
  ☆216Updated 5 years ago
• Lapis-Hong / wide_deep
  Wide and Deep Learning for CTR Prediction in tensorflow
  ☆291Updated 4 years ago
• busesese / ESMM
  esmm model by tensorflow keras
  ☆70Updated 4 years ago
• lvze92 / DMR
  Deep Match to Rank Model for Personalized Click-Through Rate Prediction
  ☆237Updated 5 years ago
• wangzhegeek / EGES
  ☆408Updated 5 months ago
• UIC-Paper / MIMN
  ☆289Updated 5 years ago
• siqi13579 / ctr_Keras
  LR, Wide&Deep, DCN, NFM, DeepFM, NFFM
  ☆116Updated 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
• wangru8080 / gbdt-lr
  gbdt+lr
  ☆158Updated 6 years ago
• charleshm / deep-ctr
  ☆91Updated 7 years ago
• aister2020 / KDDCUP_2020_Debiasing_1st_Place
  ☆172Updated 5 years ago
• neal668 / LightGBM-GBDT-LR
  a python code of applying GBDT+LR for CTR prediction
  ☆333Updated 7 years ago
• hxyue / hub-recsys
  A python library contain classic algorithms and deep models on recommender system
  ☆46Updated 5 years ago
• gccrpm / deep_learning-1
  Basic Deep Learning
  ☆36Updated 6 years ago
• CAN-Paper / Co-Action-Network
  Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
  ☆221Updated 4 years ago
• Johnson0722 / CTR_Prediction
  CTR prediction using FM FFM and DeepFM
  ☆752Updated 7 years ago
• shenweichen / DSIN
  Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
  ☆446Updated 2 years ago
• jxyyjm / tensorflow_test
  ☆43Updated 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
• 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
• nzc / dnn_ctr
  The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
  ☆757Updated 7 years ago
• wangzhegeek / DSSM-Lookalike
  ☆208Updated 6 months ago
• ttjjlw / esmm
  ctr、cvr预估
  ☆49Updated 4 years ago
• lujiaying / MovieTaster-Open
  A practical movie recommend project based on Item2vec.
  ☆281Updated 4 years ago
• lambdaji / tf_repos
  TensorFlow Script
  ☆684Updated last year
• babakx / fm_tensorflow
  Factorization Machines implementation with Tensorflow
  ☆142Updated 6 years ago
• stasi009 / NumpyWDL
  Implement Wide & Deep algorithm by using NumPy
  ☆156Updated 6 years ago
• duboya / CTR-Prediction
  Sharing the CTR Prediction original paper and personal study notes
  ☆146Updated 5 years ago