Alternatives and similar repositories for movie-recommendations

Users that are interested in movie-recommendations are comparing it to the libraries listed below

• tangrizzly / 3RecommendationSystemAlgorithms
  SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset
  ☆51Updated 7 years ago
• colby-j-wise / Deep_Learning_Recommender_System
  Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python
  ☆51Updated 7 years ago
• RuidongZ / Deep_Matrix_Factorization_Models
  Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
  ☆209Updated 7 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 …
  ☆72Updated 7 years ago
• deepakshankar94 / Movie-Recommendation-System
  Movie recommendation system built with factorization machines and deep learning
  ☆10Updated 6 years ago
• wyl6 / Recommender-Systems-Samples
  Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.
  ☆92Updated 5 years ago
• slientGe / Sequential_Recommendation_Tensorflow
  Several sequential recommended models implemented by tenosrflow1.x
  ☆119Updated 4 years ago
• RaptorMai / Deep-AutoEncoder-Recommendation
  Keras implementation of AutoRec and DeepRecommender from Nvidia.
  ☆63Updated 5 years ago
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated 2 years ago
• ChenBoSyun / implement-Collaborative-Deep-Learning-for-Recommender-Systems
  implement this paper "Collaborative Deep Learning for Recommender Systems" by python
  ☆15Updated 6 years ago
• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 6 years ago
• AaronHeee / Neural-Attentive-Item-Similarity-Model
  TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018
  ☆149Updated 6 years ago
• cheungdaven / FML
  Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"
  ☆93Updated 5 years ago
• fuhailin / Probabilistic-Matrix-Factorization
  Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k |…
  ☆172Updated 6 years ago
• ctjoy / item2vec
  Implement item2vec algorithm
  ☆77Updated 7 years ago
• fuxuemingzhu / MovieLens-Recommender
  A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
  ☆185Updated 5 years ago
• Songweiping / GRU4Rec_TensorFlow
  TensorFlow implemenation of GRu4Rec model
  ☆217Updated 6 years ago
• chenghu17 / Sequential_Recommendation
  ☆101Updated 5 years ago
• loserChen / TensorFlow-In-Practice
  Code based in TensorFlow
  ☆50Updated 5 years ago
• linzh92 / DeepICF
  TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
  ☆100Updated 2 years ago
• rdevooght / sequence-based-recommendations
  ☆370Updated last year
• cyhong549 / DeepFM-Keras
  ☆29Updated 7 years ago
• zepingyu0512 / sli_rec
  ☆74Updated 5 years ago
• paxcema / KerasGRU4Rec
  Keras implementation of GRU4Rec session-based recommender system
  ☆106Updated last year
• srp98 / Movie-Recommender-using-RBM
  A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
  ☆34Updated 7 years ago
• gtshs2 / Autorec
  Autorec (Autoencoders Meet Collaborative Filtering)
  ☆137Updated 7 years ago
• SSSxCCC / SLIM-recommendation
  A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF
  ☆47Updated 5 years ago
• bhavik08 / Group-movie-recommender-system
  Matrix Factorization based Movie Recommender System for group of users.
  ☆14Updated 8 years ago
• bits-bytes-nn / ctr_prediction
  Experiment results using FM, FFM and DeepFM algorithms in Criteo Display Advertising Challenge(https://www.kaggle.com/c/criteo-display-ad…
  ☆13Updated 5 years ago
• bwange / Item2vec_Tutorial_with_Recommender_System_Application
  Item2vec_tutorial_git
  ☆109Updated 7 years ago