| wzhe06/Ad-papers |
3,009 |
|
0 |
0 |
about 5 years ago |
0 |
|
2 |
mit |
Python |
| Papers on Computational Advertising |
| aksnzhy/xlearn |
3,000 |
|
1 |
11 |
almost 4 years ago |
10 |
December 04, 2018 |
191 |
apache-2.0 |
C++ |
| High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface. |
| wzhe06/SparrowRecSys |
1,634 |
|
0 |
0 |
about 4 years ago |
0 |
|
21 |
apache-2.0 |
Python |
| A Deep Learning Recommender System |
| ibayer/fastFM |
955 |
|
8 |
2 |
over 4 years ago |
8 |
November 23, 2017 |
52 |
other |
Python |
| fastFM: A Library for Factorization Machines |
| cnkuangshi/LightCTR |
599 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
apache-2.0 |
C++ |
| Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication. |
| AmazingDD/daisyRec |
496 |
|
0 |
0 |
about 3 years ago |
16 |
August 14, 2022 |
0 |
mit |
Python |
| This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies. |
| kanyun-inc/ytk-learn |
351 |
|
0 |
0 |
almost 4 years ago |
0 |
|
|
mit |
Java |
| Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax). |
| hexiangnan/attentional_factorization_machine |
316 |
|
0 |
0 |
over 7 years ago |
0 |
|
11 |
|
Python |
| TensorFlow Implementation of Attentional Factorization Machine |
| scikit-learn-contrib/polylearn |
207 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
bsd-2-clause |
Python |
| A library for factorization machines and polynomial networks for classification and regression in Python. |
| etlundquist/rankfm |
150 |
|
0 |
0 |
almost 3 years ago |
10 |
June 13, 2020 |
13 |
gpl-3.0 |
Python |
| Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data |
