Alternatives and similar repositories for ranklib

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

• lezzago / LambdaMart
  Python implementation of LambdaMart
  ☆186Updated 4 years ago
• sanazbahargam / Query-Understanding
  ☆57Updated 7 years ago
• jobandtalent / RankLib
  Fork of https://sourceforge.net/p/lemur/code/HEAD/tree/RankLib/
  ☆64Updated 9 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
• pl8787 / DeepRank_PyTorch
  A simple version of DeepRank & MatchPyramid implemented in PyTorch.
  ☆34Updated 5 years ago
• alicogintel / AliCoCo
  Alibaba E-commerce Cognitive Concept Net
  ☆101Updated 3 years ago
• nyu-dl / dl4ir-doc2query
  ☆162Updated 5 years ago
• Georgetown-IR-Lab / cedr
  Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.
  ☆156Updated 4 years ago
• jattenberg / RankLib
  A Learning to Rank Library
  ☆135Updated 12 years ago
• mwydmuch / extremeText
  Library for fast text representation and extreme classification.
  ☆151Updated 4 years ago
• wasiahmad / context_attentive_ir
  Official implementation of our ICLR 2018 and SIGIR 2019 papers on Context-aware Neural Information Retrieval
  ☆118Updated 5 years ago
• ULTR-Community / ULTRA
  Unbiased Learning To Rank Algorithms (ULTRA)
  ☆290Updated 2 years ago
• AdeDZY / K-NRM
  K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling
  ☆203Updated 7 years ago
• eisenjulian / nlp_estimator_tutorial
  Educational material on using the TensorFlow Estimator framework for text classification
  ☆135Updated 6 years ago
• liyinxiao / LambdaRankNN
  LambdaRank Neural Network model using Keras.
  ☆86Updated 5 years ago
• eric-cho / LuceneQueryExpansion
  TREC evaluation demonstration/Query Expansion module for Lucene for a lecture on Information Retrieval; About parsing the TREC 10G datase…
  ☆21Updated 9 years ago
• LiyuanLucasLiu / LightNER
  Inference with state-of-the-art models (pre-trained by LD-Net / AutoNER / VanillaNER / ...)
  ☆116Updated 6 years ago
• baharefatemi / DSSM
  An implementation of the paper: Learning Deep Structured Semantic Models for Web Search using Clickthrough Data
  ☆48Updated 7 years ago
• laura-dietz / tutorial-utilizing-kg
  Resources for Tutorial on "Utilizing Knowledge Graphs in Text-centric Information Retrieval"
  ☆158Updated 7 years ago
• kno10 / WikipediaEntities
  UNSUPPORTED & OUTDATED: Derive named entities from Wikipedia
  ☆47Updated 6 years ago
• arezooSarvi / sigir2020-eComWorkshop-LTM-for-product-search
  implementation for comparison of supervised Learning to Match methods for product search
  ☆37Updated 4 years ago
• louislung / DAE_RNN_News_Recommendation
  Refer to paper "Embedding-based News Recommendation for Millions of Users" & "Article De-duplication Using Distributed Representations" p…
  ☆31Updated 2 years ago
• andreweskeclarke / learning-rank-public
  Learning Rank
  ☆78Updated 8 years ago
• airalcorn2 / RankNet
  My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
  ☆248Updated 6 years ago
• jinfengr / hcan
  EMNLP'19: Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling
  ☆78Updated 2 years ago
• nlpaueb / deep-relevance-ranking
  Deep Relevance Ranking Using Enhanced Document-Query Interactions
  ☆111Updated 6 years ago
• ilovedoudou / Risk-Sensitive-LTR
  ☆18Updated 7 years ago
• chao-ji / tf-word2vec
  TensorFlow implementation of word2vec
  ☆52Updated 5 years ago
• AdeDZY / DeepCT
  DeepCT and HDCT uses BERT to generate novel, context-aware bag-of-words term weights for documents and queries.
  ☆322Updated 4 years ago
• varepsilon / clickmodels
  ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic gr…
  ☆239Updated 7 years ago