| muhanzhang/IGMC |
236 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
mit |
Python |
| Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight". |
| sbyrnes/likely.js |
198 |
|
6 |
5 |
almost 8 years ago |
5 |
September 04, 2015 |
8 |
mit |
JavaScript |
| A javascript library for collaborative filtering and recommendation engines designed for node.js |
| brkyvz/streaming-matrix-factorization |
100 |
|
0 |
0 |
about 10 years ago |
0 |
|
4 |
apache-2.0 |
Scala |
| Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems |
| dmlc/experimental-mf |
82 |
|
0 |
0 |
almost 10 years ago |
0 |
|
0 |
apache-2.0 |
C++ |
| cache-friendly multithread matrix factorization |
| huangyueranbbc/Spark_ALS |
68 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
mit |
Java |
| 基于spark-ml,spark-mllib,spark-streaming的推荐算法实现 |
| katbailey/factorizer |
62 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
|
Python |
| Matrix factorization using TensorFlow |
| domainxz/top-k-rec |
54 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A method collection for top-k recommendation |
| alineberry/my-movie-recommender |
38 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Personal movie recommender system and a research sandbox |
| skrinak/recommendationEngine |
31 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| A 3-hour workshop for understanding deep learning recommendation systems. |
| aaw/IncrementalSVD.jl |
27 |
|
0 |
0 |
almost 6 years ago |
0 |
|
3 |
other |
Julia |
| Simon Funk's approach to collaborative filtering using the singular value decomposition, implemented in Julia. |
