Alternatives and similar repositories for rec-sys-experiments

Users that are interested in rec-sys-experiments are comparing it to the libraries listed below

• freegraphics / MIDS
  Deep Learning Recommender System
  ☆53Updated 8 years ago
• lca4 / collaborative-rnn
  A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
  ☆60Updated 6 years ago
• alno / kaggle-outbrain-click-prediction
  ☆77Updated 8 years ago
• mesuvash / NNRec
  Neural models for Collaborative Filtering
  ☆127Updated 6 years ago
• gabrielspmoreira / kaggle_outbrain_click_prediction_google_cloud_ml_engine
  A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition
  ☆36Updated 6 years ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 7 years ago
• nlp-deepcbrs / amar
  Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"
  ☆30Updated 7 years ago
• daxiongshu / stack-nn-tensorflow
  ☆26Updated 8 years ago
• mesuvash / LRec
  Linear Recommender AAAI-16 code
  ☆20Updated 7 years ago
• datadynamo / strata_ny_2017_recommender_tutorial
  Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial
  ☆22Updated 7 years ago
• DoosanJung / Item2Vec_Galvanize_project
  **Under construction**
  ☆31Updated 7 years ago
• vicmak / item2vec
  items browsed in a session as a context are modeled to vec with bidirectional lstm
  ☆18Updated 8 years ago
• CNevd / DeepLearning-MXNet
  MXNet for CTR
  ☆50Updated 7 years ago
• rayshi14 / HybridLinUCB-python
  Hybrid Linear UCB bandit learning algorithm L Li(2010) python code
  ☆56Updated 9 years ago
• dongwookim-ml / topic-model-lecture-note
  lecture notes for probabilistic topic models using ipython notebook
  ☆22Updated 10 years ago
• romovpa / ydf-recsys2015-challenge
  Solution of RecSys Challenge 2015
  ☆91Updated 8 years ago
• chentingpc / NNCF
  Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"
  ☆39Updated 7 years ago
• dongx-duan / bpr
  ☆42Updated 9 years ago
• nzw0301 / lightLDA
  fast sampling algorithm based on CGS
  ☆50Updated 5 years ago
• qqgeogor / kaggle_quora_benchmark
  ☆62Updated 8 years ago
• qqgeogor / fm_pypy
  fm model trained with sgd or adam accelerated by pypy
  ☆24Updated 8 years ago
• ichuang / tflearn_wide_and_deep
  Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.
  ☆145Updated 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
• mzaradzki / factorization-machine-for-prediction
  Factorization Machine for regression and classification
  ☆98Updated 7 years ago
• MehdiAbbanaBennani / Neural-Networks-for-Collaborative-Filtering
  Deep Learning for Recommendation
  ☆34Updated 7 years ago
• recsyschallenge / 2017
  ☆40Updated 7 years ago
• Gzsiceberg / kaggle-avito
  https://www.kaggle.com/c/avito-context-ad-clicks/forums
  ☆83Updated 9 years ago
• daxiongshu / light-ffm
  ☆108Updated 8 years ago
• skywaLKer518 / A-Recsys
  A Tensorflow based implicit recommender system
  ☆108Updated 5 years ago
• maciejkula / netrex
  Neural network recommendation models in PyTorch
  ☆58Updated 7 years ago