haorenhao / _posts

Related projects: ⓘ

• CastellanZhang / lambdaFM
  Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…
  ☆111Updated 3 years ago
• charleshm / deep-ctr
  ☆91Updated 6 years ago
• Lapis-Hong / FM
  using FM latent vectors as embedding features
  ☆13Updated 7 years ago
• zhaosm / dssm-lstm
  ☆60Updated this week
• 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
• Tristan-Chow / Recommendation-System-based-on-TensorFlow
  Neural candidates generation network based on Youtube reommender paper
  ☆19Updated 5 years ago
• jxyyjm / tensorflow_test
  ☆43Updated 4 years ago
• drcut / FFM-tensorflow
  FFM implement with tensorflow by Python
  ☆61Updated 6 years ago
• CastellanZhang / alphaPLM
  Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.
  ☆127Updated 3 years ago
• yangxudong / papers
  算法相关的各种论文和slides
  ☆42Updated 5 years ago
• outstandingcandy / dssm
  Deep structured semantic model
  ☆32Updated 8 years ago
• wangkobe88 / Earth
  ☆27Updated 6 years ago
• kn45 / ltr-dnn
  LTR DNN in tensorflow, an improvement of DSSM
  ☆21Updated 6 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 4 years ago
• andrew-zzz / tree-based-deep-model
  it's the realization of Tree-based Deep Model with tensorflow
  ☆32Updated 4 years ago
• R-Stalker / deep_learning_estimator_labels
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• datawlb / code
  code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..
  ☆26Updated 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
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 5 years ago
• hczheng / 2016Bytecup
  2016 Byte Cup国际机器学习竞赛
  ☆25Updated 7 years ago
• CNevd / FM_DMLC
  Distributed FM and LR based on Rabit with Lbfgs
  ☆27Updated 8 years ago
• neal668 / GBDT-FM
  An implementation of GBDT+FM
  ☆24Updated 7 years ago
• lujinhong / ffm
  ☆22Updated this week
• CNevd / libffm-ftrl
  libffm with ftrl updater
  ☆93Updated 7 years ago
• CNevd / DeepLearning-MXNet
  MXNet for CTR
  ☆50Updated 7 years ago
• qqgeogor / bytecup_solution
  ☆37Updated 7 years ago
• sjtuhzc / CTR-estimator
  LR and FM (with sgd or ftrl) model
  ☆25Updated 8 years ago
• zhaozhiyong19890102 / OpenSourceReading
  ☆54Updated last year
• bartgras / XGBoost-Tensorflow-Wide-and-deep-comparison
  Comparison how Tensorflow Wide and Deep model performs vs. XGBoost implementation
  ☆20Updated 7 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…
  ☆38Updated 3 years ago