movielens-dataset topic

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.

WindQAQ

Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

Thomas-George-T

Factorization Machine models in PyTorch

rixwew

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

khanhnamle1994

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

jadianes

Training Deep AutoEncoders for Collaborative Filtering

Chinmayrane16

Personalized real-time movie recommendation system

batsqd

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

zishansami102

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

Chinmayrane16

Movie Recommendation System: Project using R and Machine learning

Rpita623