Alternatives and similar repositories for EDLAE_NeurIPS2020

Users that are interested in EDLAE_NeurIPS2020 are comparing it to the libraries listed below

• cydonia999 / variational-autoencoders-for-collaborative-filtering-pytorch
  Implementation of variational autoencoders for collaborative filtering in PyTorch
  ☆25Updated 6 years ago
• usaito / unbiased-implicit-rec
  (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
  ☆26Updated 2 years ago
• layer6ai-labs / MCL
  Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"
  ☆12Updated 3 years ago
• ilya-shenbin / RecVAE
  The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
  ☆117Updated last year
• sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization
  ☆21Updated 3 years ago
• juyongjiang / awesome-graph-self-supervised-learning-based-recommendation
  A curated list of awesome graph & self-supervised-learning-based recommendation.
  ☆48Updated 3 years ago
• noveens / svae_cf
  [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
  ☆41Updated 4 years ago
• noveens / infinite_ae_cf
  [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…
  ☆55Updated 2 years ago
• gourabkumarpatro / FairRec_www_2020
  Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
  ☆32Updated 3 years ago
• noveens / sampling_cf
  [ WSDM '22 ] On Sampling Collaborative Filtering Datasets
  ☆20Updated 3 years ago
• xiaxin1998 / OD-Rec
  Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'
  ☆14Updated 2 years ago
• franckjay / TorchEASE
  Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch
  ☆36Updated last year
• salesforce / RGRecSys
  ☆18Updated 2 months ago
• usaito / unbiased-implicit-rec-real
  (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
  ☆30Updated 2 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆74Updated 3 years ago
• lizli502 / SSE-PT
  ☆60Updated last year
• BestActionNow / Slate_Aware_Ranking
  The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23
  ☆16Updated 2 years ago
• evfro / HyperbolicRecommenders
  Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.
  ☆36Updated 5 years ago
• DyGRec / ASReP
  Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
  ☆51Updated 3 years ago
• CharlieMat / PivotCVAE
  This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
  ☆15Updated 4 years ago
• PengjieRen / RepeatNet-pytorch
  This is a pytorch (>=1.3.0) implementation of RepeatNet
  ☆35Updated 5 years ago
• Qcactus / CPR
  TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)
  ☆43Updated last year
• jin530 / SWalk
  This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.
  ☆33Updated last year
• usaito / asymmetric-tri-rec-real
  (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’
  ☆21Updated 2 years ago
• weiyinwei / CLCRec
  Contrastive Learning for Cold-start Recommendation
  ☆69Updated 3 years ago
• jin530 / SLIST
  This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"
  ☆33Updated last year
• guosyjlu / MRDR-DL
  TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21
  ☆25Updated 2 years ago
• JingsenZhang / Recbole-Debias
  RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.
  ☆40Updated 2 years ago
• rahmanidashti / FairRecSys
  [Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)
  ☆33Updated 3 years ago
• layer6ai-labs / TAFA
  Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"
  ☆19Updated 5 years ago