movielens-dataset
There are 139 repositories under movielens-dataset topic.
rixwew/pytorch-fm
Factorization Machine models in PyTorch
jadianes/spark-movie-lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
khanhnamle1994/MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
WindQAQ/tf-recsys
tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.
Thomas-George-T/Movies-Analytics-in-Spark-and-Scala
Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.
rudrajikadra/Movie-Recommendation-System-Using-Python-and-Pandas
This is a python project where using Pandas library we will find correlation and give the best recommendation for movies.
nusdbsystem/ARM-Net
A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.
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
batsqd/Movie
Personalized real-time movie recommendation system
Rpita623/Movie-Recommendation-System-using-R_Project
Movie Recommendation System: Project using R and Machine learning
prakruti-joshi/Movie-Recommendation-System
Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
theanilbajar/Fuzzy-Genetic-Recommender-System
Using Hybrid Fuzzy logic and Genetic Algorithms to build a faster and accurate recommender system.
Spidy20/Movie_Recommender_App
It is a movie recommender web application which is developed using the Python.
nikita9604/Movie-Recommendation-Website
Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)
SudharshanShanmugasundaram/Movie-Recommendation-System-using-AutoEncoders
Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset
Chinmayrane16/DeepRecommender
Training Deep AutoEncoders for Collaborative Filtering
alexvlis/movie-recommendation-system
Movie Recommendation System using the MovieLens dataset
m-clark/noiris
Any data but iris 👁
Freator/resysMovieLens
推荐系统课程作业（基于movieLens数据文件）
vjvishaljha/Recommender_Sys
A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
zishansami102/Recommendation-Engine
A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83
changhyeonnam/NCF
Neural Collaborative Filtering with MovieLens in pytorch
Upasanadhameliya/Django-Movie-Recommendor
Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities
CVxTz/Recommender_keras
Basic recommendation system for Movilens dataset using Keras
shaghayeghjalali96/movie-recommender-system
deep learning project
chanddu/Movie-Recommender-System
Recommender System (Java, Apache Spark)
shah314/BPR
Bayesian Personalized Ranking in Python
Armando8766/MovieRecommender
This is a web application for movie recommendation based on Flask, HTML and Python
humorless/spark-movie-lens
An on-line movie recommender using Spark, Clojure Luminus, and the MovieLens dataset
shr1611/Recommendation_Systems_study
Comparison of performance evaluation of the baseline and hybrid recommendation systems using various metrics, to prove that hybrid systems perform better
Lal4Tech/movielens-data-exploration
Exploratory data analysis of movielesns-1m dataset
solitude6060/An-Adaptive-Context-Aware-and-Stacked-Attention-Network-Based-Recommendation-System
A Deep-learning-based context-aware recommendation system with two kinds of attention modules
chiraag-kakar/Recommender
Implementing Model-Based CF using SVD & Memory-Based CF by computing cosine similarity on MovieLens dataset
erikphillips/movielens-recommendation
A recommendation algorithm using the MovieLens dataset.