Alternatives and similar repositories for FM:

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

• charleshm / deep-ctr
  ☆91Updated 7 years ago
• Tristan-Chow / Recommendation-System-based-on-TensorFlow
  Neural candidates generation network based on Youtube reommender paper
  ☆21Updated 6 years ago
• jxyyjm / tensorflow_test
  ☆43Updated 5 years ago
• QingqingSUN / YoutubeNet
  recommendation system with Youtube Deep Net
  ☆84Updated 6 years ago
• gccrpm / deep_learning-1
  Basic Deep Learning
  ☆36Updated 6 years ago
• LRegan666 / Tree_Deep_Model
  Deep neural network model based on the tree
  ☆48Updated 6 years ago
• andrew-zzz / tree-based-deep-model
  it's the realization of Tree-based Deep Model with tensorflow
  ☆32Updated 5 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 3 years ago
• chenlongzhen / wide-and-deep
  ☆18Updated 7 years ago
• cnfsll / Attentional-Neural-Factorization-Machine
  Attention,Factorization Machine, Deep Learning, Recommender System
  ☆39Updated 7 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 4 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
• bartgras / XGBoost-Tensorflow-Wide-and-deep-comparison
  Comparison how Tensorflow Wide and Deep model performs vs. XGBoost implementation
  ☆20Updated 8 years ago
• cstur4 / interaction-aware-factorization-machines
  Tensorflow implementation for Interaction-aware factorization machines
  ☆50Updated 5 years ago
• yangxudong / papers
  算法相关的各种论文和slides
  ☆42Updated 6 years ago
• SongDark / DeepFM_keras
  A simple DeepFM.
  ☆101Updated 6 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
• siqi13579 / ctr_Keras
  LR, Wide&Deep, DCN, NFM, DeepFM, NFFM
  ☆116Updated 6 years ago
• rec-agent / drr
  code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"
  ☆52Updated 6 years ago
• outstandingcandy / dssm
  Deep structured semantic model
  ☆32Updated 9 years ago
• CastellanZhang / alphaFM_softmax
  Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.
  ☆70Updated 3 years ago
• mengxiaozhibo / DMIN
  ☆35Updated 4 years ago
• drcut / FFM-tensorflow
  FFM implement with tensorflow by Python
  ☆60Updated 7 years ago
• wangzhegeek / item-userCF
  item&&userCF
  ☆9Updated 5 years ago
• zgw21cn / DeepFM
  Implementation of DeepFM using tensorflow.
  ☆48Updated 7 years ago
• recsysgroup / i2i_recall
  ☆28Updated 4 years ago
• AshutoshDongare / Tensorflow-Wide-Deep-Local-Prediction
  This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
  ☆30Updated 7 years ago
• datawlb / code
  code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..
  ☆26Updated 9 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 years ago