Alternatives and similar repositories for Restricted-Boltzmann-Machine:

Users that are interested in Restricted-Boltzmann-Machine are comparing it to the libraries listed below

• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆112Updated last year
• dongx-duan / bpr
  ☆42Updated 8 years ago
• chentingpc / NNCF
  Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"
  ☆39Updated 7 years ago
• lca4 / collaborative-rnn
  A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
  ☆60Updated 6 years ago
• henry0312 / CDAE
  Collaborative Denoising Auto-Encoder (CDAE)
  ☆56Updated 8 years ago
• andreiolariu / kaggle-event-recommendation
  Model for the Event Recommendation Engine Challenge on Kaggle.com
  ☆42Updated 11 years ago
• AlgorithmFan / BPTF
  Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
  ☆21Updated 8 years ago
• xiaoouzhang / Collaborative-Deep-Learning-for-Recommender-Systems
  The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …
  ☆69Updated 6 years ago
• arasharchor / RecSys-DAE-tensorflow
  Simple Recommender System using Denoising AutoEncoder, implemented using TensorFlow
  ☆16Updated 8 years ago
• akash13singh / mxnet-for-cdl
  Collaborative Deep Learning for Recommender Systems.
  ☆71Updated 7 years ago
• ruhan / toyslim
  Toy implementation of SLIM and SSLIM Recommendation methods.
  ☆41Updated 6 years ago
• evfro / TensorGlue
  Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.
  ☆26Updated 8 years ago
• mesuvash / NNRec
  Neural models for Collaborative Filtering
  ☆127Updated 6 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 6 years ago
• Mohit67 / Movie_recommendar
  Movie recommendation project using wide and deep learning
  ☆31Updated 8 years ago
• odie2630463 / Restricted-Boltzmann-Machines-in-pytorch
  RBM in Pytorch
  ☆59Updated 7 years ago
• felipecruz / CFRBM
  CFRBM is a implementation of the RBM model to the collaborative filtering task
  ☆40Updated 6 years ago
• cyhong549 / DeepFM-Keras
  ☆29Updated 6 years ago
• Chunpai / LASSO
  solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent
  ☆21Updated 10 years ago
• fajieyuan / CIKM2016-LambdaFM
  LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates
  ☆18Updated 5 years ago
• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 5 years ago
• fstrub95 / torch.github.io
  Torch's web page.
  ☆12Updated 8 years ago
• skywaLKer518 / A-Recsys
  A Tensorflow based implicit recommender system
  ☆108Updated 5 years ago
• MehdiAbbanaBennani / Neural-Networks-for-Collaborative-Filtering
  Deep Learning for Recommendation
  ☆34Updated 7 years ago
• cnfsll / Neural-Factorization-Machine
  Factorization Machine, Deep Learning, Recommender System
  ☆18Updated 6 years ago
• abhowmick22 / distributedSGD
  This is a Spark implementation (Python API) for Distributed Stochastic Gradient Descent based on
  ☆11Updated 9 years ago
• mickeykedia / Matrix-Factorization-ALS
  Alternating least squares matrix factorization
  ☆17Updated 8 years ago
• ebigelow / tf-decompose
  Tensor decomposition implemented in TensorFlow
  ☆63Updated 5 years ago
• dongguosheng / deepwalk
  weighted deepwalk implementation in c++
  ☆18Updated 8 years ago
• sckangz / recom_mc
  ☆11Updated 8 years ago