Alternatives and similar repositories for Deep_CTR

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

• qqgeogor / bytecup_solution
  ☆37Updated 8 years ago
• batch-norm / xDeepFM
  xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  ☆130Updated 5 years ago
• Leavingseason / rnn_recsys
  Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
  ☆141Updated 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
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 years ago
• cnfsll / Attentional-Neural-Factorization-Machine
  Attention,Factorization Machine, Deep Learning, Recommender System
  ☆39Updated 7 years ago
• Atomu2014 / product-nets-distributed
  distributed version of product-nets
  ☆82Updated 5 years ago
• babakx / fm_tensorflow
  Factorization Machines implementation with Tensorflow
  ☆142Updated 6 years ago
• qian135 / ctr_model_zoo
  some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…
  ☆70Updated 6 years ago
• waylensu / DeepFFM
  ☆27Updated 8 years ago
• keyunluo / Tencent2018_Lookalike_Rank10th
  2018年腾讯广告算法大赛Rank10代码：深度部分
  ☆68Updated 7 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 5 years ago
• SayaZhang / IJCAI-2018-Ctr
  IJCAI-18 阿里妈妈搜索广告转化预测
  ☆53Updated 7 years ago
• neal668 / GBDT-FM
  An implementation of GBDT+FM
  ☆24Updated 8 years ago
• wanesta / Simrank
  spark-simrank scala
  ☆17Updated 8 years ago
• shenweichen / Tencent_Social_Ads2017_Mobile_App_pCVR
  Tencent Social Ads 2017 contest rank 20
  ☆158Updated 7 years ago
• CastellanZhang / lambdaFM
  Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…
  ☆110Updated 4 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 4 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
• QingqingSUN / YoutubeNet
  recommendation system with Youtube Deep Net
  ☆84Updated 6 years ago
• rener1199 / deep_memory
  ☆62Updated 6 years ago
• shenweichen / IJCAI_2018_Competition_baseline
  IJCAI2018阿里妈妈搜索广告转化率预估baseline LB 0.0831
  ☆87Updated 7 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
• duoan / ijcai18-mama-ads-competition
  IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
  ☆74Updated 7 years ago
• charleshm / deep-ctr
  ☆91Updated 7 years ago
• ichuang / tflearn_wide_and_deep
  Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.
  ☆145Updated 8 years ago
• zgw21cn / DeepFM
  Implementation of DeepFM using tensorflow.
  ☆48Updated 7 years ago
• MehdiAbbanaBennani / Neural-Networks-for-Collaborative-Filtering
  Deep Learning for Recommendation
  ☆34Updated 8 years ago
• cstur4 / interaction-aware-factorization-machines
  Tensorflow implementation for Interaction-aware factorization machines
  ☆50Updated 5 years ago
• ChenglongChen / tensorflow-LTR
  Tensorflow implementations of various Learning to Rank (LTR) algorithms.
  ☆230Updated 7 years ago