movielens-dataset

There are 10 repositories under movielens-dataset topic.

rixwew / pytorch-fm
Factorization Machine models in PyTorch
autoint avazu-dataset collaborative-filtering criteo-dataset ctr-prediction dcn deepfm factorization-machines ffm fm fnfm hofm movielens-dataset neural-collaborative-filtering nfm pnn pytorch xdeepfm
Language:Python 1033
jadianes / spark-movie-lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
movie-recommendation movielens-dataset spark flask python big-data bigdata
Language:Jupyter Notebook 819
MetaRec
khanhnamle1994 / MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
deep-learning recommender-systems collaborative-filtering movielens-dataset matrix-factorization multilayer-perceptron autoencoders pytorch wandb tensorboard tensorflow ranking django cometml meta-learning boltzmann-machines
Language:Python 298
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.
tensorflow recommender-system collaborative-filtering svd svdplusplus movielens-dataset
Language:Python 95
Thomas-George-T / Movies-Analytics-in-Spark-and-Scala
Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.
spark spark-sql rdd shell-script big-data dataframes movielens-data-analysis big-data-analytics big-data-projects spark-programs scala movielens-dataset analytics case-study spark-dataframes spark-rdd hadoop spark-scala movies
Language:Scala 94
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.
movie-recommendation-system movielens-dataset python python-project recommendation-system
Language:Jupyter Notebook 78
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.
tabular-data structured-data pytorch attention frappe-dataset movielens-dataset avazu-dataset criteo-dataset diabetes-prediction healthcare-analysis 121-uci-datasets log-based-anomaly-detection
Language:Python 75
Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques
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
collaborative-filtering deep-learning embeddings movielens-dataset recommender-system state-of-the-art
Language:Jupyter Notebook 60
batsqd / Movie
Personalized real-time movie recommendation system
movie recommendation-system real-time collaborative-filtering kmeans-clustering slope-one movie-recommendation rating movielens-dataset
Language:Java 46
Rpita623 / Movie-Recommendation-System-using-R_Project
Movie Recommendation System: Project using R and Machine learning
data-analysis data-preprocessing data-science data-visualization datascience machine-learning machine-learning-algorithms machinelearning movie-recommendation movie-recommendation-system movielens-dataset r recommendation recommendation-engine recommendation-system recommendations recommender-system recommender-systems rprogramming rstudio
Language:R 37
prakruti-joshi / Movie-Recommendation-System
Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
collaborative-filtering content-based-recommendation hybrid-recommender-system movie-recommendation movielens-dataset recommendation-system surprise-python svd-matrix-factorisation
Language:Jupyter Notebook 28
theanilbajar / Fuzzy-Genetic-Recommender-System
Using Hybrid Fuzzy logic and Genetic Algorithms to build a faster and accurate recommender system.
fuzzy-logic genetic-algorithm movielens-dataset python
Language:Python 28
nikita9604 / Movie-Recommendation-Website
Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)
movie-recommendation-system collaborative-filtering content-based-recommendation heroku-deployment matrix-factorization neural-network knn singular-value-decomposition movielens-dataset
Language:Jupyter Notebook 24
Spidy20 / Movie_Recommender_App
It is a movie recommender web application which is developed using the Python.
movie-recommendation movie-recommendation-system movielens-dataset
Language:Jupyter Notebook 24
SudharshanShanmugasundaram / Movie-Recommendation-System-using-AutoEncoders
Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset
pytorch autoencoders recommendation-system python movielens-dataset recommender-system deeplearning
Language:Python 23
vatsalsaglani / bert4rec
bert bert4rec collaborative-filtering movielens-dataset movielens-movie-recommendation recommender-system
Language:Jupyter Notebook 23
DeepRecommender
Chinmayrane16 / DeepRecommender
Training Deep AutoEncoders for Collaborative Filtering
autoencoder-neural-network deep-autoencoders deep-learning mmse movielens-dataset pytorch-implementation recommendation-system research-paper state-of-the-art
Language:Jupyter Notebook 22
alexvlis / movie-recommendation-system
Movie Recommendation System using the MovieLens dataset
machine-learning collaborative-filtering neural-network svm ridge-regression deep-learning movie-recommendation movielens-dataset
Language:Python 19
m-clark / noiris
Any data but iris 👁
big-five-model data fashion-mnist gapminder google-apps iris-dataset kiva movielens movielens-dataset mtcars pisa-data r sp500 starwars starwars-api water-risk world-happiness-report
Language:R 19
vjvishaljha / Recommender_Sys
A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
python machine-learning recommender-system content-based-recommendation collaborative-filtering hybrid-recommender-system text-to-speech speech-to-text movielens-dataset
Language:Jupyter Notebook 17
Freator / resysMovieLens
推荐系统课程作业（基于movieLens数据文件）
recommender-system movielens-dataset python
Language:Python 16
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
machine-learning recommendation-system tensorflow movielens-dataset collaborative-filtering state-of-the-art
Language:Python 16
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
django django-project python3 content-filtering movielens movielens-dataset movie-recommendation machine-learning django3 content-based-recommendation content-based-filtering python python-3-6
Language:Python 13
changhyeonnam / NCF
Neural Collaborative Filtering with MovieLens in pytorch
recommender-system collaborative-filtering neural-collaborative-filtering movielens-dataset
Language:Python 12
CVxTz / Recommender_keras
Basic recommendation system for Movilens dataset using Keras
keras recommendation-system tensoflow movielens-dataset movielens
Language:Python 12
chanddu / Movie-Recommender-System
Recommender System (Java, Apache Spark)
recommender-system collaborative-filtering alternating-least-squares apache-spark java8 movielens-dataset
Language:Java 9
kurtispykes / recommender_system
notebook movielens-dataset ipynb data-science data-visualization exploratory-data-analysis analysis
Language:Jupyter Notebook 9
shaghayeghjalali96 / movie-recommender-system
deep learning project
recommender-system colab-notebook content-based-recommendation python keras user-based-recommendation item-based-recommendation collaborative-filtering deep-learning machine-learning movielens-dataset
Language:Jupyter Notebook 9
shah314 / BPR
Bayesian Personalized Ranking in Python
bpr bayesian bayesian-personalized-ranking python recommender-systems personalization hit-rate movielens movielens-dataset collaborative-filtering
Language:Python 9
Armando8766 / MovieRecommender
This is a web application for movie recommendation based on Flask, HTML and Python
flask html movie-recommendation movielens-dataset python recommender-system
Language:HTML 7
humorless / spark-movie-lens
An on-line movie recommender using Spark, Clojure Luminus, and the MovieLens dataset
movie-recommendation movielens-dataset spark luminus clojure big-data
Language:Clojure 6
Lal4Tech / movielens-data-exploration
Exploratory data analysis of movielesns-1m dataset
exploratory-data-analysis python3 jupyter-notebook movielens-dataset movielens
Language:Jupyter Notebook 6
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
recommendation-system collaborative-filtering content-based-filtering hybrid-recommender-system python3 movielens-dataset lightfm-library
Language:Jupyter Notebook 6
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
attention-mechanism deep-learning ieee-transactions machine-learning movie-recommendation movielens-dataset recommendation-system recommender-system tkde transformer
Language:Python 5
chiraag-kakar / Recommender
Implementing Model-Based CF using SVD & Memory-Based CF by computing cosine similarity on MovieLens dataset
collaborative-filtering movielens-dataset movie ratings recommender-system project
4
erikphillips / movielens-recommendation
A recommendation algorithm using the MovieLens dataset.
movielens-dataset machine-learning recommender-system prediction recommender
Language:Python 4

movielens-dataset

rixwew / pytorch-fm

jadianes / spark-movie-lens

khanhnamle1994 / MetaRec

WindQAQ / tf-recsys

Thomas-George-T / Movies-Analytics-in-Spark-and-Scala

rudrajikadra / Movie-Recommendation-System-Using-Python-and-Pandas

nusdbsystem / ARM-Net

Chinmayrane16 / Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques

batsqd / Movie

Rpita623 / Movie-Recommendation-System-using-R_Project

prakruti-joshi / Movie-Recommendation-System

theanilbajar / Fuzzy-Genetic-Recommender-System

nikita9604 / Movie-Recommendation-Website

Spidy20 / Movie_Recommender_App

SudharshanShanmugasundaram / Movie-Recommendation-System-using-AutoEncoders

vatsalsaglani / bert4rec

Chinmayrane16 / DeepRecommender

alexvlis / movie-recommendation-system

m-clark / noiris

vjvishaljha / Recommender_Sys

Freator / resysMovieLens

zishansami102 / Recommendation-Engine

Upasanadhameliya / Django-Movie-Recommendor

changhyeonnam / NCF

CVxTz / Recommender_keras

chanddu / Movie-Recommender-System

kurtispykes / recommender_system

shaghayeghjalali96 / movie-recommender-system

shah314 / BPR

Armando8766 / MovieRecommender

humorless / spark-movie-lens

Lal4Tech / movielens-data-exploration

shr1611 / Recommendation_Systems_study

solitude6060 / An-Adaptive-Context-Aware-and-Stacked-Attention-Network-Based-Recommendation-System

chiraag-kakar / Recommender

erikphillips / movielens-recommendation