Alternatives and similar repositories for DeepGBM

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

• Leavingseason / xDeepFM
  ☆750Updated 6 years ago
• DeepBlueAI / AutoSmart
  ☆249Updated 4 years ago
• antmachineintelligence / mtgbmcode
  mtgbmcode
  ☆176Updated 3 years ago
• hexiangnan / neural_factorization_machine
  TenforFlow Implementation of Neural Factorization Machine
  ☆471Updated 5 years ago
• guoday / ctrNet-tool
  This's the tool for CTR, including FM, FFM, NFFM and so on.
  ☆319Updated 6 years ago
• hexiangnan / attentional_factorization_machine
  TensorFlow Implementation of Attentional Factorization Machine
  ☆407Updated 7 years ago
• shichence / AutoInt
  Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
  ☆206Updated 6 years ago
• drawbridge / keras-mmoe
  A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
  ☆725Updated 2 years ago
• nzc / dnn_ctr
  The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
  ☆761Updated 7 years ago
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 6 years ago
• shenweichen / DSIN
  Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
  ☆446Updated 2 years ago
• Atomu2014 / product-nets
  Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distribut…
  ☆374Updated 5 years ago
• UIC-Paper / MIMN
  ☆288Updated 6 years ago
• haowei01 / pytorch-examples
  train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
  ☆184Updated 2 weeks ago
• chenxijun1029 / DeepFM_with_PyTorch
  A PyTorch implementation of DeepFM for CTR prediction problem.
  ☆401Updated 4 years ago
• LongmaoTeamTf / deep_recommenders
  Deep Recommenders
  ☆330Updated 2 years ago
• Leavingseason / OpenLearning4DeepRecsys
  Some deep learning based recsys for open learning.
  ☆399Updated 7 years ago
• acbull / Unbiased_LambdaMart
  Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
  ☆224Updated 6 years ago
• huangsg1 / uncertainty-calibration
  A collection of research and application papers of (uncertainty) calibration techniques.
  ☆341Updated last year
• jrzaurin / Wide-and-Deep-Keras
  Keras implementation of Tensorflow's Wide and Deep Algorithm
  ☆161Updated 6 years ago
• shiba24 / learning2rank
  Learning to rank with neuralnet - RankNet and ListNet
  ☆487Updated 7 years ago
• oywtece / dstn
  Deep Spatio-Temporal Neural Network (DSTN)
  ☆166Updated 4 years ago
• neal668 / LightGBM-GBDT-LR
  a python code of applying GBDT+LR for CTR prediction
  ☆336Updated 7 years ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆657Updated 2 years ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆681Updated 6 years ago
• zhuchenxv / AutoFIS
  AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
  ☆184Updated 3 years ago
• yarny / gbdt
  Gradient boosting decision trees.
  ☆364Updated 6 years ago
• lvze92 / DMR
  Deep Match to Rank Model for Personalized Click-Through Rate Prediction
  ☆237Updated 5 years ago
• jiuxianghedonglu / Context-Aware-Multi-Modal-Transportation-Recommendation
  KDD CUP 2019 Baseline
  ☆102Updated 6 years ago
• lytforgood / MachineLearningTrick
  Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest
  ☆371Updated 7 years ago