sophwats / XGBoost-lambdaMART

Related projects ⓘ

Alternatives and complementary repositories for XGBoost-lambdaMART

• sophwats / learning-to-rank
  ☆44Updated 5 years ago
• lezzago / LambdaMart
  Python implementation of LambdaMart
  ☆183Updated 3 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆84Updated 7 years ago
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆176Updated this week
• rjagerman / pytorchltr
  Learning to Rank in PyTorch
  ☆78Updated 10 months ago
• liyinxiao / LambdaRankNN
  LambdaRank Neural Network model using Keras.
  ☆85Updated 5 years ago
• Swiggy / Moo-GBT
  Library for Multi-objective optimization in Gradient Boosted Trees
  ☆77Updated 3 months ago
• liyinxiao / Ranking_Papers
  Papers on recommendation system / search ranking.
  ☆37Updated last year
• NVIDIA-Merlin / competitions
  Solutions to Recommender Systems competitions
  ☆199Updated 2 years ago
• haowei01 / pytorch-examples
  train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
  ☆178Updated 2 years ago
• wildltr / ptranking
  Learning to Rank in PyTorch
  ☆474Updated 2 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆92Updated last year
• 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
• bigdong89 / xgboostExtension
  xgboost Extension for Easy Ranking & TreeFeature
  ☆123Updated 5 years ago
• ULTR-Community / ULTRA
  Unbiased Learning To Rank Algorithms (ULTRA)
  ☆287Updated last year
• airalcorn2 / RankNet
  My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
  ☆247Updated 5 years ago
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆117Updated 2 years ago
• eggie5 / RankNet
  Learning to Rank from Pair-wise data
  ☆55Updated 5 years ago
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆171Updated 3 months ago
• logicai-io / recsys2019
  ☆94Updated last year
• houchenyu / L2R
  A Python version of RankNet, LambdaRank and LambdaMart
  ☆121Updated 4 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
  ☆243Updated 5 years ago
• manifoldai / mf-eng-public
  ☆51Updated 6 years ago
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆135Updated 4 months ago
• aldente0630 / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• jma127 / pyltr
  Python learning to rank (LTR) toolkit
  ☆464Updated 3 years ago
• microsoft / rankerEval
  A fast numpy-based implementation of ranking metrics for information retrieval and recommendation.
  ☆31Updated 2 years ago
• NVIDIA-Merlin / publications
  ☆61Updated 2 months ago
• lmassaron / deep_learning_for_tabular_data
  A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras
  ☆41Updated last year
• sbadirli / GrowNet
  ☆191Updated 3 years ago