Alternatives and similar repositories for RecSys_Course_2017

Users that are interested in RecSys_Course_2017 are comparing it to the libraries listed below

• mesuvash / NNRec
  Neural models for Collaborative Filtering
  ☆127Updated 6 years ago
• yhs968 / pyGRU4REC
  PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)
  ☆149Updated 6 years ago
• criteo-research / CausE
  Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
  ☆248Updated 7 years ago
• gamboviol / bpr
  Bayesian Personalized Ranking
  ☆215Updated 9 years ago
• recsyschallenge / 2019
  ☆101Updated 5 years ago
• mquad / sars_tutorial
  Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
  ☆344Updated 5 years ago
• deezer / w2v_reco_hyperparameters_matter
  Repository to reproduce results of "Word2vec applied to Recommendation: Hyperparameters Matter" by H. Caselles-Dupré, F. Lesaint and J. …
  ☆53Updated 6 years ago
• ruhan / toyslim
  Toy implementation of SLIM and SSLIM Recommendation methods.
  ☆42Updated 7 years ago
• jmhessel / fmpytorch
  A PyTorch implementation of a Factorization Machine module in cython.
  ☆173Updated 7 years ago
• dawenl / vae_cf
  Variational autoencoders for collaborative filtering
  ☆543Updated 7 years ago
• romovpa / ydf-recsys2015-challenge
  Solution of RecSys Challenge 2015
  ☆90Updated 9 years ago
• fstrub95 / Autoencoders_cf
  ☆169Updated 8 years ago
• makgyver / rectorch
  rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
  ☆150Updated 4 years ago
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated 2 years ago
• rdevooght / sequence-based-recommendations
  ☆370Updated last year
• dawenl / expo-mf
  Exposure Matrix Factorization: modeling user exposure in recommendation
  ☆96Updated 9 years ago
• dawenl / cofactor
  CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
  ☆165Updated 8 years ago
• QingyaoAi / Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
  This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…
  ☆89Updated 3 years ago
• mquad / hgru4rec
  Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
  ☆216Updated 3 years ago
• cheungdaven / deeplearning4recommendersystem
  deep learning for recommender system
  ☆44Updated 7 years ago
• dongx-duan / bpr
  ☆42Updated 9 years ago
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 7 years ago
• eelxpeng / CollaborativeVAE
  ☆74Updated 7 years ago
• changun / CollMetric
  A Tensorflow implementation of Collaborative Metric Learning (CML)
  ☆160Updated 8 years ago
• PierreGe / RL-movie-recommender
  The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the proble…
  ☆119Updated 6 years ago
• mzaradzki / factorization-machine-for-prediction
  Factorization Machine for regression and classification
  ☆98Updated 8 years ago
• Ian09 / CF-NADE
  A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
  ☆79Updated 7 years ago
• layer6ai-labs / DropoutNet
  Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
  ☆180Updated 2 years ago
• HongleiXie / DropoutNet
  Python + TensorFlow implementation of the DropoutNet model
  ☆13Updated 7 years ago
• MrChrisJohnson / logistic-mf
  Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf
  ☆159Updated 11 years ago