Alternatives and similar repositories for AutoRec

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

• mmaher22 / iCV-SBR
  Benchmarking of Session-based Recommendation Approaches
  ☆30Updated 5 years ago
• RandolphVI / Next-Basket-Recommendation
  About Next Basket Recommendations Based on Neural Network.
  ☆48Updated 5 years ago
• beta-team / beta-recsys
  Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
  ☆168Updated 5 months ago
• lizli502 / SSE-PT
  ☆60Updated last year
• BartyzalRadek / contextual-bandits-recommender
  Implementing LinUCB and HybridLinUCB in Python.
  ☆49Updated 7 years ago
• gourabkumarpatro / FairRec_www_2020
  Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
  ☆32Updated 3 years ago
• sh0416 / bpr
  Bayesian Personalized Ranking using PyTorch
  ☆139Updated 7 months ago
• criteo-research / CausE
  Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
  ☆248Updated 7 years ago
• rn5l / session-rec
  Python-based framework for building and evaluating session-based and session-aware recommender systems.
  ☆390Updated 4 years ago
• WayneDW / DeepLight_Deep-Lightweight-Feature-Interactions
  Accelerating Inference for Recommendation Systems (WSDM'21)
  ☆112Updated 4 years ago
• ilya-shenbin / RecVAE
  The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
  ☆118Updated last year
• evfro / recsys19_hybridsvd
  Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
  ☆24Updated 6 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 3 years ago
• usaito / recsys2021-tutorial
  https://sites.google.com/cornell.edu/recsys2021tutorial
  ☆56Updated 3 years ago
• KarypisLab / SLIM
  High-performance implementation of SLIM-based approaches for Top-N recommendation
  ☆113Updated 3 years ago
• spotify-research / RIPS_KDD2020
  ☆19Updated 5 years ago
• reczoo / RecBox
  A box of core libraries for recommendation model development
  ☆91Updated last year
• sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization
  ☆21Updated 4 years ago
• makgyver / rectorch
  rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
  ☆150Updated 4 years ago
• yixinwang / causal-recsys-public
  ☆47Updated 3 years ago
• sisinflab / elliot
  Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
  ☆292Updated last week
• finn-no / recsys_slates_dataset
  FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…
  ☆53Updated 2 years ago
• antonismand / Personalized-News-Recommendation
  Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
  ☆100Updated 4 years ago
• ULTR-Community / ULTRA_pytorch
  Unbiased Learning To Rank Algorithms (ULTRA)
  ☆94Updated 2 years ago
• google-research / recsim_ng
  RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
  ☆123Updated 3 years ago
• fajieyuan / recommendation_transfer_learning_pretraining
  Pre-training and Transfer learning papers for recommendation
  ☆18Updated last year
• guoyang9 / BPR-pytorch
  A pytorch implementation for BPR (Bayesian Personalized Ranking).
  ☆144Updated 6 years ago
• WeiyuCheng / AFN-AAAI-20
  Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
  ☆38Updated 5 years ago
• Darel13712 / ease_rec
  embarrassingly shallow autoencoder
  ☆68Updated 3 years ago
• EthanRosenthal / torchmf
  matrix factorization in PyTorch
  ☆130Updated 2 years ago