learning-to-rank

There are 137 repositories under learning-to-rank topic.

  • lyst/lightfm

    A Python implementation of LightFM, a hybrid recommendation algorithm.

    Language:Python4.8k87505692

  • rguo12/awesome-causality-algorithms

    An index of algorithms for learning causality with data

    3k1109456

  • maciejkula/spotlight

    Deep recommender models using PyTorch.

    Language:Python3k106110428

  • tensorflow/ranking

    Learning to Rank in TensorFlow

    Language:Python2.7k97319476

  • frutik/awesome-search

    Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

    Language:HTML1.4k6315117

  • allegro/allRank

    allRank is a framework for training learning-to-rank neural models based on PyTorch.

    Language:Python8782843119

  • mandiant/stringsifter

    A machine learning tool that ranks strings based on their relevance for malware analysis.

    Language:Python6842920125

  • wildltr/ptranking

    Learning to Rank in PyTorch

    Language:Python474101969

  • jma127/pyltr

    Python learning to rank (LTR) toolkit

    Language:Python4641714107

  • XPixelGroup/RankSRGAN

    ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

    Language:Python26962060

  • jiangnanboy/learning_to_rank

    利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

    Language:Python2602671

  • airalcorn2/RankNet

    My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.

    Language:Python2478847

  • ChenglongChen/tensorflow-LTR

    Tensorflow implementations of various Learning to Rank (LTR) algorithms.

    Language:Python22815576

  • acbull/Unbiased_LambdaMart

    Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

    Language:C++22591250

  • treygrainger/ai-powered-search

    The codebase for the book "AI-Powered Search" (Manning Publications, 2024)

    Language:Jupyter Notebook195145844

  • haowei01/pytorch-examples

    train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

    Language:Python1785320

  • etlundquist/rankfm

    Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

    Language:Python171122537

  • hegongshan/Recommender-Systems-Paper

    Must-read Papers for Recommender Systems (RS)

    1481017

  • zwx8981/UNIQUE

    The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'

    Language:Python13172211
  • collie

    ShopRunner/collie

    A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.

    Language:Python108311220

  • kunhe/FastAP-metric-learning

    Code for CVPR 2019 paper "Deep Metric Learning to Rank"

    Language:MATLAB956515

  • hpclab/rankeval

    Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.

    Language:Python88141911

  • nguyenvo09/EMNLP2020

    This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.

    Language:Python83208

  • vanzytay/WSDM2018_HyperQA

    Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

    Language:Python685214

  • kiudee/cs-ranking

    Context-sensitive ranking and choice in Python with PyTorch

    Language:Python6686715

  • XinshaoAmosWang/Ranked-List-Loss-for-DML

    CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

    Language:Shell64568

  • pl8787/SetRank

    Implementation of SetRank in SIGIR 2020

    Language:Python51217

  • zhihu/SERank

    An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed based on TF-Ranking.

    Language:Python501216

  • fastread/src

    tools for fast reading of docs

    Language:Python498515

  • jjfiv/fastrank

    My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".

    Language:Rust492336

  • kunhe/TALR

    Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"

    Language:MATLAB45438

  • Qcactus/CPR

    TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)

    Language:Python42367

  • akanyaani/ranknet-tensorflow2.0

    Implementation of RankNet to LambdaRank in TensorFlow 2.0

    Language:Python40337

  • rth/pysofia

    bindings for the sofia-ml machine learning library

    Language:C++3761112

  • o19s/elasticsearch-ltr-demo

    This demo uses data from TheMovieDB (TMDB) to demonstrate using Ranklib learning to rank models with Elasticsearch.

    Language:HTML3621319

  • yunhenk/Conv-KNRM

    Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search

    Language:Python321016