Alternatives and similar repositories for ptranking

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

• allegro / allRank
  allRank is a framework for training learning-to-rank neural models based on PyTorch.
  ☆937Updated 9 months ago
• haowei01 / pytorch-examples
  train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
  ☆182Updated 3 months ago
• ULTR-Community / ULTRA
  Unbiased Learning To Rank Algorithms (ULTRA)
  ☆290Updated 2 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
• lezzago / LambdaMart
  Python implementation of LambdaMart
  ☆185Updated 4 years ago
• houchenyu / L2R
  A Python version of RankNet, LambdaRank and LambdaMart
  ☆129Updated 4 years ago
• rjagerman / pytorchltr
  Learning to Rank in PyTorch
  ☆87Updated last year
• liyinxiao / LambdaRankNN
  LambdaRank Neural Network model using Keras.
  ☆86Updated 5 years ago
• shiba24 / learning2rank
  Learning to rank with neuralnet - RankNet and ListNet
  ☆487Updated 7 years ago
• jma127 / pyltr
  Python learning to rank (LTR) toolkit
  ☆465Updated 3 years ago
• airalcorn2 / RankNet
  My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
  ☆248Updated 6 years ago
• ULTR-Community / ULTRA_pytorch
  Unbiased Learning To Rank Algorithms (ULTRA)
  ☆93Updated 2 years ago
• LibRerank-Community / LibRerank
  LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…
  ☆250Updated 3 years ago
• YannDubs / Hash-Embeddings
  PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
  ☆197Updated 6 years ago
• rixwew / pytorch-fm
  Factorization Machine models in PyTorch
  ☆1,064Updated last year
• yumeng5 / Spherical-Text-Embedding
  [NeurIPS 2019] Spherical Text Embedding
  ☆177Updated last year
• jaywonchung / BERT4Rec-VAE-Pytorch
  Pytorch implementation of BERT4Rec and Netflix VAE.
  ☆385Updated last year
• WayneDW / DeepLight_Deep-Lightweight-Feature-Interactions
  Accelerating Inference for Recommendation Systems (WSDM'21)
  ☆112Updated 4 years ago
• reczoo / BARS
  BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
  ☆375Updated 6 months ago
• jiawei-chen / RecDebiasing
  This repository collects debiasing methods for recommendation
  ☆427Updated last year
• AmazingDD / daisyRec
  Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…
  ☆552Updated 9 months ago
• microsoft / ANCE
  A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks
  ☆371Updated last year
• wubinzzu / NeuRec
  Next RecSys Library
  ☆1,057Updated 2 years ago
• jrzaurin / pytorch-widedeep
  A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
  ☆1,353Updated 3 months ago
• THUDM / NLP4Rec-Papers
  Paper list of NLP for recommender systems
  ☆230Updated 5 years ago
• NTMC-Community / MatchZoo-py
  Facilitating the design, comparison and sharing of deep text matching models.
  ☆499Updated last year
• FeiSun / BERT4Rec
  BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
  ☆657Updated 5 years ago
• msnews / MIND
  Microsoft News Dataset
  ☆119Updated 4 years ago
• alimamarankgroup / HPMN
  Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
  ☆102Updated 4 years ago
• ChenglongChen / tensorflow-LTR
  Tensorflow implementations of various Learning to Rank (LTR) algorithms.
  ☆230Updated 6 years ago