Alternatives and similar repositories for boosting_tree_benchmarks

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

• bigdong89 / xgboostExtension
  xgboost Extension for Easy Ranking & TreeFeature
  ☆125Updated 5 years ago
• acbull / Unbiased_LambdaMart
  Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
  ☆225Updated 5 years ago
• airalcorn2 / RankNet
  My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
  ☆248Updated 6 years ago
• lezzago / LambdaMart
  Python implementation of LambdaMart
  ☆185Updated 4 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 years ago
• nicolov / gradient_boosting_tensorflow_xgboost
  Benchmarking Gradient Boosting in TensorFlow and XGBoost
  ☆137Updated 7 years ago
• daxiongshu / light-ffm
  ☆108Updated 8 years ago
• mzaradzki / factorization-machine-for-prediction
  Factorization Machine for regression and classification
  ☆98Updated 8 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆149Updated 8 years ago
• andreweskeclarke / learning-rank-public
  Learning Rank
  ☆78Updated 8 years ago
• huanzhang12 / lightgbm-gpu
  Development Repository for GPU-accelerated GBDT training
  ☆60Updated 8 years ago
• fmfn / FTRLp
  Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm
  ☆151Updated 6 years ago
• chao-ji / tf-word2vec
  TensorFlow implementation of word2vec
  ☆52Updated 5 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated last year
• alexeygrigorev / libffm-python
  A Python wrapper for LibFFM
  ☆120Updated 6 years ago
• kopopt / fast_tffm
  fast_tffm: Tensorflow-based Distributed Factorization Machine
  ☆142Updated 8 years ago
• ChenglongChen / tensorflow-LTR
  Tensorflow implementations of various Learning to Rank (LTR) algorithms.
  ☆230Updated 7 years ago
• jfpuget / LibFM_in_Keras
  This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.
  ☆189Updated 7 years ago
• liyinxiao / LambdaRankNN
  LambdaRank Neural Network model using Keras.
  ☆86Updated 5 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 5 years ago
• alno / kaggle-outbrain-click-prediction
  ☆77Updated 8 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
• CNevd / libffm-ftrl
  libffm with ftrl updater
  ☆94Updated 8 years ago
• QingyaoAi / Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
  This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…
  ☆89Updated 2 years ago
• Nirvanada / Deep-and-Cross-Keras
  Keras Implementation for "Deep & Cross Network for Ad Click Predictions"
  ☆94Updated 4 years ago
• palevas / santander-product-recommendation-8th-place
  ☆47Updated 8 years ago
• vicmak / item2vec
  items browsed in a session as a context are modeled to vec with bidirectional lstm
  ☆18Updated 8 years ago
• liyinxiao / Ranking_Papers
  Papers on recommendation system / search ranking.
  ☆44Updated 2 months ago
• outstandingcandy / dssm
  Deep structured semantic model
  ☆32Updated 9 years ago