Updated Feb 4, 2018
Building recommenders with Elastic Graph!
Updated Sep 28, 2018
🍊 👎 Add-on for Orange3 to support recommender systems.
New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++
Updated Sep 1, 2017
Recommendation Models in TensorFlow
Updated Apr 6, 2018
Creating a movie recommendation system for iOS with Turi Create
Updated Jul 31, 2018
Experimental, general purpose, framework for the practical application of deep learning, utilising MongoDb, TensorFlo…
Updated Oct 9, 2018
A new method to find neighbor users that improves the performance of Collaborative Filtering
Updated Sep 11, 2018
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
Updated Jul 10, 2018
Promise based Node API for the movielens unpublished API (ready to be used with async/await)
Updated Jan 26, 2017
Recommender System using movielens 100k dataset
Updated Jul 28, 2018
Spark ML Tutorial and Examples for Beginners
Updated Mar 26, 2018
Converts the ratings exported from Letterboxd to a format that can be imported by MovieLens.
Updated Sep 14, 2018
movie recommendation system implemented by jupyter notebook
Updated May 24, 2017
Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.
Updated Oct 16, 2017
Implementation of collaborative filtering using fastai and pytorch
Updated Jun 24, 2018
Map/Reduce application that analyzes movie ratings collected by Movielens, leveraging Hadoop MapReduce, Hadoop Distri…
Updated Jul 25, 2017
Implementation of various popular Collaborative Filtering algorithms in Python.
Updated Nov 24, 2017
Recommender System based on Collaborative Filtering using Java
Updated Mar 14, 2018
Probabilistic Matrix Factorization on MovieLens 100K
Updated Jun 1, 2018
Applied Extreme Learning Machine (ELM) to the domain of Collaborative Filtering.
Updated Apr 18, 2017
A Collaborative Filtering application that uses rankings from MovieLens to recommend movies to users.
Updated Jul 27, 2018
Updated Jan 30, 2017
Created a Recommender system based on Products of Factors technique
Updated Dec 19, 2016
Clean and extract data from movielens data set
Updated Jul 16, 2017
Neural net for predicting movies from MovieLens
Updated Dec 26, 2017
Recommendation Engine based on Sparklign Water H2O library. Developed with Spark Scala and R.
Updated Jun 8, 2018
A very primitive type of recommender system
Updated Sep 17, 2015
Building a movie recommender system with factorization machines on Amazon SageMaker.
Updated Sep 3, 2018
Label consistent RBM
Updated Dec 16, 2016