Alternatives and similar repositories for FfmEncoder

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

• gabrielspmoreira / kaggle_outbrain_click_prediction_google_cloud_ml_engine
  A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition
  ☆36Updated 6 years ago
• ARASC / papers
  papers we read about Recommendation Advertising & Search
  ☆31Updated 4 years ago
• wangkobe88 / Earth
  ☆27Updated 7 years ago
• rockingdingo / context_recommendation
  Contextual Recommendation Implementation for Research Purposes
  ☆19Updated 10 months ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆46Updated 8 years ago
• Songbo729066989 / tencent_ad_ffm_baseline
  ☆31Updated 7 years ago
• Mohit67 / Movie_recommendar
  Movie recommendation project using wide and deep learning
  ☆32Updated 8 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 years ago
• waylensu / DeepFFM
  ☆27Updated 7 years ago
• cnfsll / Neural-Factorization-Machine
  Factorization Machine, Deep Learning, Recommender System
  ☆18Updated 7 years ago
• faychu / nfm
  ☆13Updated 8 years ago
• wangru8080 / Deep_CTR
  ☆31Updated 2 years ago
• yym-ustc / FactorizationMachine
  implementation of factorization machine, support classification.
  ☆20Updated 6 years ago
• VasiliyRubtsov / wsdm_music_recommendations
  ☆47Updated 7 years ago
• keyunluo / python-ffm
  Python Wrapped LibFFM
  ☆66Updated 6 years ago
• aimetrics / jarvis
  Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…
  ☆37Updated 4 years ago
• hczheng / 2016Bytecup
  2016 Byte Cup国际机器学习竞赛
  ☆26Updated 8 years ago
• neal668 / GBDT-FM
  An implementation of GBDT+FM
  ☆24Updated 8 years ago
• JerryZhong / GBDT
  simple multi-class GBDT
  ☆15Updated 11 years ago
• yinyajun / Details-In-Recommendation
  Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…
  ☆19Updated 5 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated last year
• Smilexuhc / 2019WSDMCUp-baidu-user-retention-rate-prediction
  ☆15Updated 6 years ago
• cnfsll / Attentional-Neural-Factorization-Machine
  Attention,Factorization Machine, Deep Learning, Recommender System
  ☆39Updated 7 years ago
• batch-norm / xDeepFM
  xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  ☆131Updated 5 years ago
• qqgeogor / bytecup_solution
  ☆37Updated 8 years ago
• qqgeogor / Kaggler
  add ftrl_fm cython implementation
  ☆13Updated 8 years ago
• outstandingcandy / dssm
  Deep structured semantic model
  ☆32Updated 9 years ago
• palevas / santander-product-recommendation-8th-place
  ☆46Updated 8 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 7 years ago
• p768lwy3 / torecsys
  ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…
  ☆104Updated 3 years ago