Alternatives and similar repositories for Wide-and-Deep-PyTorch

Users that are interested in Wide-and-Deep-PyTorch are comparing it to the libraries listed below

• guyulongcs / CIKM2020_DMT
  Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
  ☆115Updated 4 years ago
• 99731 / M2GRL
  A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
  ☆97Updated 5 years ago
• mamuyang / Sequential-Recommendation-Paperlist
  The paper list under Sequential Recommendation task
  ☆14Updated 5 years ago
• zeroized / DeepRec-torch
  Easy-to-use pytorch-based framework for RecSys models
  ☆40Updated 5 years ago
• AkiraZC / CATN
  The implementation of SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao,…
  ☆48Updated 5 years ago
• xidongbo / AITM
  TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…
  ☆119Updated 2 years ago
• maenzhier / GRecX
  An Efficient and Unified Benchmark for GNN-based Recommendation.
  ☆79Updated 2 years ago
• RUCAIBox / Negative-Sampling-Paper
  This repository collects 100 papers related to negative sampling methods.
  ☆198Updated 2 years ago
• CRIPAC-DIG / Fi_GNN
  [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
  ☆86Updated last year
• dai08srhg / ESMM
  PyTorch implementation of Entire Space Multitask Model (ESMM)
  ☆40Updated 3 years ago
• EzailShen / WWW-22-DIHN
  [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation
  ☆22Updated 3 years ago
• CRIPAC-DIG / GraphCTR
  This repo includes some graph-based CTR prediction models and other representative baselines.
  ☆69Updated last year
• RUCAIBox / RSPapers
  Must-read papers on Recommender System. 推荐系统相关论文整理（内含40篇论文，并持续更新中）
  ☆91Updated 6 years ago
• wolfkin-hth / Recommender-systems-paper
  Paper and notes of Recommender systems.
  ☆37Updated 5 years ago
• zanshuxun / WeChat_Big_Data_Challenge_DeepCTR_baseline
  ☆106Updated 2 years ago
• tsinghua-fib-lab / CLSR
  The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
  ☆82Updated 3 years ago
• breadbread1984 / PinSage-tf2.0
  [WIP] an implement of PinSage recommender system
  ☆64Updated 5 years ago
• MarcoMorik / Dynamic-Fairness
  Dynamic Fair Rankings
  ☆87Updated 2 years ago
• reczoo / RecBook
  推荐系统修炼手册
  ☆118Updated 3 years ago
• googlebaba / KDD2019-MEIRec
  KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
  ☆188Updated 3 years ago
• ShomyLiu / Neu-Review-Rec
  A Toolkit for Neural Review-based Recommendation models with Pytorch.
  ☆176Updated 3 years ago
• CRIPAC-DIG / A-PGNN
  [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…
  ☆84Updated last year
• THUDM / NLP4Rec-Papers
  Paper list of NLP for recommender systems
  ☆227Updated 6 years ago
• reczoo / RecBox
  A box of core libraries for recommendation model development
  ☆91Updated last year
• WeiyuCheng / AFN-AAAI-20
  Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
  ☆38Updated 5 years ago
• shawroad / DeepCTR-pytorch
  Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
  ☆68Updated last year
• fajieyuan / SIGIR2020_peterrec
  Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
  ☆206Updated last year
• qqxiaochongqq / DFN
  Deep Feedback Network for Recommendation
  ☆96Updated 5 years ago
• allenjack / GATE
  The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"
  ☆63Updated 2 years ago
• SkylerLinn / Understanding-the-Ranking-Loss
  ☆54Updated 11 months ago