Alternatives and similar repositories for Attention-GRU-3M:

Users that are interested in Attention-GRU-3M are comparing it to the libraries listed below

• wanesta / Simrank
  spark-simrank scala
  ☆17Updated 8 years ago
• faychu / nfm
  ☆13Updated 7 years ago
• vicmak / item2vec
  items browsed in a session as a context are modeled to vec with bidirectional lstm
  ☆18Updated 8 years ago
• rockingdingo / context_recommendation
  Contextual Recommendation Implementation for Research Purposes
  ☆19Updated 6 months ago
• John-Yao / Tencent_Social_Ads2018
  2018腾讯社交广告33名；
  ☆22Updated 6 years ago
• arasharchor / RecSys-DAE-tensorflow
  Simple Recommender System using Denoising AutoEncoder, implemented using TensorFlow
  ☆16Updated 8 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
• waylensu / DeepFFM
  ☆27Updated 7 years ago
• isnowfy / ranklogistic
  pairwise learning to rank with logistic regression
  ☆19Updated 8 years ago
• CNevd / Parallel-GBDT
  Parallel Gradient Boosting Decision Trees
  ☆21Updated 8 years ago
• fajieyuan / CIKM2016-LambdaFM
  LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates
  ☆18Updated 5 years ago
• chenhuang-learn / large-scale-lbfgs
  a large scale lbfgs using a method in nips 2014 paper "Large-scale L-BFGS using MapReduce".
  ☆13Updated 9 years ago
• rener1199 / deep_memory
  ☆62Updated 5 years ago
• qqgeogor / Kaggler
  add ftrl_fm cython implementation
  ☆13Updated 8 years ago
• Nirvanada / Deep-and-Cross-Keras
  Keras Implementation for "Deep & Cross Network for Ad Click Predictions"
  ☆94Updated 3 years ago
• cnfsll / Neural-Factorization-Machine
  Factorization Machine, Deep Learning, Recommender System
  ☆18Updated 6 years ago
• SayaZhang / IJCAI-2018-Ctr
  IJCAI-18 阿里妈妈搜索广告转化预测
  ☆53Updated 6 years ago
• qqgeogor / bytecup_solution
  ☆37Updated 8 years ago
• CNevd / DeepLearning-MXNet
  MXNet for CTR
  ☆51Updated 7 years ago
• jangmino / HGRU4Rec
  Session based Recommendation, RecSys, TensorFlow
  ☆22Updated 6 years ago
• ymkigeg / tensorflow_serving
  show how to use tensorflow estimator train and export model, then serving model and call for prediction
  ☆25Updated last year
• whongyi / datafilter-recsys
  code for ResSys'18 paper: "Exploring Recommendations Under User-Controlled Data Filtering"
  ☆23Updated 6 years ago
• lca4 / collaborative-rnn
  A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
  ☆61Updated 6 years ago
• Mohit67 / Movie_recommendar
  Movie recommendation project using wide and deep learning
  ☆32Updated 8 years ago
• ivanliu1989 / AVAZU-CTR-Prediction
  In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction s…
  ☆32Updated 5 years ago
• nlp-deepcbrs / amar
  Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"
  ☆30Updated 7 years ago
• Junqi-Zhang / AETN
  The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow
  ☆34Updated 4 years ago