KarypisLab / SLIM

Related projects: ⓘ

• beta-team / beta-recsys
  Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
  ☆162Updated 3 months ago
• ilya-shenbin / RecVAE
  The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
  ☆106Updated 3 months ago
• sh0416 / bpr
  Bayesian Personalized Ranking using PyTorch
  ☆131Updated 2 years ago
• hexiangnan / sigir16-eals
  Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "
  ☆135Updated 6 years ago
• hasteck / Higher_Recsys_2021
  ☆24Updated 3 years ago
• makgyver / rectorch
  rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
  ☆152Updated 3 years ago
• nikolakopoulos / RecWalk
  Implementation of the RecWalk recommendation algorithm
  ☆22Updated 5 years ago
• mquad / hgru4rec
  Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
  ☆213Updated last year
• datamllab / AutoRec
  ☆49Updated last year
• graytowne / caser_pytorch
  A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
  ☆263Updated 3 years ago
• david-cortes / cmfrec
  (Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputatio…
  ☆112Updated this week
• domainxz / top-k-rec
  A method collection for top-k recommendation
  ☆64Updated 2 years ago
• layer6ai-labs / DropoutNet
  Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
  ☆174Updated 8 months ago
• hexiangnan / adversarial_personalized_ranking
  Adversarial Learning, Matrix Factorization, Recommendation
  ☆215Updated 5 years ago
• google-research / recsim_ng
  RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
  ☆115Updated 2 years ago
• rn5l / session-rec
  Python-based framework for building and evaluating session-based and session-aware recommender systems.
  ☆383Updated 2 years ago
• guoyang9 / BPR-pytorch
  A pytorch implementation for BPR (Bayesian Personalized Ranking).
  ☆135Updated 5 years ago
• sisinflab / elliot
  Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
  ☆272Updated 10 months ago
• criteo-research / CausE
  Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
  ☆242Updated 5 years ago
• usaito / recsys2021-tutorial
  https://sites.google.com/cornell.edu/recsys2021tutorial
  ☆49Updated 2 years ago
• p768lwy3 / torecsys
  ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…
  ☆101Updated 2 years ago
• EthanRosenthal / torchmf
  matrix factorization in PyTorch
  ☆127Updated last year
• younggyoseo / vae-cf-pytorch
  Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch
  ☆130Updated 3 years ago
• lizli502 / SSE-PT
  ☆57Updated 4 months ago
• linzh92 / DeepICF
  TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
  ☆101Updated last year
• changun / CollMetric
  A Tensorflow implementation of Collaborative Metric Learning (CML)
  ☆160Updated 6 years ago
• hungpthanh / GRU4REC-pytorch
  An other implementation of GRU4REC using PyTorch
  ☆243Updated 3 years ago
• cieske / Diverse-RecSys
  Collection of diverse recommendation papers
  ☆60Updated last year
• ylongqi / unbiased-offline-recommender-evaluation
  ☆33Updated 5 years ago
• evfro / HyperbolicRecommenders
  Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.
  ☆35Updated 4 years ago