Alternatives and similar repositories for movielens

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

• amitkaps / recommendation
  Recommendation System using ML and DL
  ☆508Updated 2 years ago
• csaluja / JupyterNotebooks-Medium
  ☆124Updated 7 years ago
• Chinmayrane16 / Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques
  Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
  ☆62Updated 5 years ago
• PacktPublishing / Hands-On-Recommendation-Systems-with-Python
  Hands-On Recommendation Systems with Python published by Packt
  ☆268Updated 2 years ago
• mandeep147 / Amazon-Product-Recommender-System
  Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
  ☆249Updated 7 years ago
• nikitaa30 / Recommender-Systems
  Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
  ☆57Updated 5 years ago
• piyushpathak03 / Recommendation-systems
  Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…
  ☆206Updated last year
• practical-recommender-systems / moviegeek
  A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
  ☆930Updated 10 months ago
• caserec / CaseRecommender
  Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
  ☆498Updated last year
• alexvlis / movie-recommendation-system
  Movie Recommendation System using the MovieLens dataset
  ☆18Updated 7 years ago
• jalajthanaki / Movie_recommendation_engine
  This repository contains the code for building movie recommendation engine.
  ☆79Updated 7 years ago
• KevinLiao159 / MyDataSciencePortfolio
  Applying Data Science and Machine Learning to Solve Real World Business Problems
  ☆404Updated 5 years ago
• asif536 / Movie-Recommender-System
  Basic Movie Recommendation Web Application using user-item collaborative filtering.
  ☆223Updated 3 years ago
• alineberry / my-movie-recommender
  Personal movie recommender system and a research sandbox
  ☆55Updated 7 years ago
• u128str / Netflix-Movie-Recommendation-System
  A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
  ☆39Updated 6 years ago
• fuxuemingzhu / MovieLens-Recommender
  A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
  ☆184Updated 5 years ago
• XuefengHuang / RecommendationSystem
  Book recommender system using collaborative filtering based on Spark
  ☆389Updated 7 years ago
• topspinj / recommender-tutorial
  An introduction to recommendation systems in Python
  ☆200Updated 4 years ago
• rposhala / Recommender-System-on-MovieLens-dataset
  Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Rec…
  ☆145Updated 2 years ago
• caserec / Datasets-for-Recommender-Systems
  This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
  ☆1,073Updated 2 years ago
• revantkumar / Collaborative-Filtering
  Implemented Item, User and Hybrid based Collaborative Filtering
  ☆159Updated 10 years ago
• RaptorMai / Deep-AutoEncoder-Recommendation
  Keras implementation of AutoRec and DeepRecommender from Nvidia.
  ☆63Updated 5 years ago
• surakshapai / RecommendationSystem
  Recommendation System implementation which includes user based collaborative filtering, item based recommender and content boosted collab…
  ☆19Updated 10 years ago
• srp98 / Movie-Recommender-using-RBM
  A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
  ☆34Updated 7 years ago
• chihming / competitive-recsys
  A collection of resources for Recommender Systems (RecSys)
  ☆537Updated 3 years ago
• nikitaa30 / Content-based-Recommender-System
  It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset
  ☆72Updated 5 years ago
• rajaprerak / movie_recommender
  Movie Recommender System with Django.
  ☆78Updated last year
• khanhnamle1994 / MetaRec
  PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
  ☆306Updated 2 years ago
• marlesson / recsys_autoencoders
  This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
  ☆53Updated 5 years ago
• Gurupradeep / Movie-Recommendation-System
  Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning base…
  ☆42Updated 7 years ago