| NVIDIA/DeepRecommender |
1,457 |
|
0 |
0 |
about 6 years ago |
0 |
|
10 |
mit |
Python |
| Deep learning for recommender systems |
| gaolinjie/awesome-recommender-systems |
195 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
|
| A curated list of awesome resources about Recommender Systems. |
| dandxy89/BellkorAlgorithm |
33 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| A Python implementation of the Bellkor Algorithm |
| jaywonchung/BERT4Rec-VAE-Pytorch |
33 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Pytorch implementation of BERT4Rec and Netflix VAE. |
| easonchan1213/LDA_RecEngine |
15 |
|
0 |
0 |
about 10 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| An implementation of LDA-based Recommender System |
| pancr9/Netflix-Recommender-System |
13 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| ITCS 6190 : Cloud Computing for Data Analysis project. Movie Recommendation Engine for Netflix Data with custom functions implementation and library usage. |
| TaihuaLi/Movielens-Recommender |
11 |
|
0 |
0 |
almost 10 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Course project for Programing Machine Learnings Applications class |
| wuliwei9278/ml-1m |
11 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Julia |
| New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++ |
| harshraj11584/Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix |
11 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| [Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky |
| the-fang/Netflix-Movie-recommender-system |
7 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Developed a recommendation system in Python using Netflix prize dataset and MovieLens data set using collaborative filtering technique to recommend movies to a user, based on their preferences. |
