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
• 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
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 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
• andreweskeclarke / learning-rank-public
  Learning Rank
  ☆78Updated 8 years ago
• CNevd / libffm-ftrl
  libffm with ftrl updater
  ☆94Updated 7 years ago
• mzaradzki / factorization-machine-for-prediction
  Factorization Machine for regression and classification
  ☆98Updated 7 years ago
• ChenglongChen / tensorflow-LTR
  Tensorflow implementations of various Learning to Rank (LTR) algorithms.
  ☆230Updated 6 years ago
• huanzhang12 / lightgbm-gpu
  Development Repository for GPU-accelerated GBDT training
  ☆60Updated 8 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated last year
• lezzago / LambdaMart
  Python implementation of LambdaMart
  ☆184Updated 4 years ago
• daxiongshu / light-ffm
  ☆108Updated 7 years ago
• liyinxiao / LambdaRankNN
  LambdaRank Neural Network model using Keras.
  ☆86Updated 5 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
• plantsgo / Instacart-Market-Basket-Analysis
  kaggle:Instacart-Market-Basket-Analysis-12th solution
  ☆50Updated 7 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 4 years ago
• xiaozhouwang / kaggle-porto-seguro
  2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
  ☆155Updated 5 years ago
• fmfn / FTRLp
  Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm
  ☆150Updated 6 years ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆152Updated last year
• 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
• airalcorn2 / RankNet
  My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
  ☆247Updated 6 years ago
• navicto / Discretization-MDLPC
  Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)
  ☆60Updated 6 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
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆148Updated 8 years ago
• faychu / nfm
  ☆13Updated 7 years ago
• CNevd / DeepLearning-MXNet
  MXNet for CTR
  ☆50Updated 7 years ago
• hawhuang / xgboost_realtime_predict_test
  xgboost在线预测
  ☆30Updated 7 years ago
• kopopt / fast_tffm
  fast_tffm: Tensorflow-based Distributed Factorization Machine
  ☆143Updated 8 years ago
• aksnzhy / xlearn_doc
  Document of xLearn
  ☆21Updated 5 years ago