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Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Created
2017-10-07
133 commits to master branch, last one 2 years ago
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 int...
Created
2017-06-10
1,342 commits to master branch, last one 2 years ago
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Created
2020-04-06
68 commits to master branch, last one 2 years ago
fastFM: A Library for Factorization Machines
Created
2014-10-27
297 commits to master branch, last one 3 years ago
Factorization Machine models in PyTorch
Created
2019-05-28
39 commits to master branch, last one 4 years ago
TensorFlow implementation of an arbitrary order Factorization Machine
Created
2016-05-02
107 commits to master branch, last one 3 years ago
DeepTables: Deep-learning Toolkit for Tabular data
Created
2020-03-20
324 commits to master branch, last one 2 months ago
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Co...
Created
2019-12-02
299 commits to dev branch, last one 5 months ago
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 Mac...
Created
2017-05-17
102 commits to master branch, last one 5 years ago
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
Created
2021-11-13
116 commits to main branch, last one 3 months ago
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Created
2017-05-10
346 commits to master branch, last one 7 months ago
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Created
2020-05-02
171 commits to master branch, last one 4 years ago
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Created
2020-09-14
1,003 commits to main branch, last one 8 months ago
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Created
2018-03-06
98 commits to master branch, last one 10 months ago
:ocean: FluRS: A Python library for streaming recommendation algorithms
Created
2016-10-26
229 commits to master branch, last one 2 years ago
零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结
Created
2019-10-24
22 commits to master branch, last one 4 years ago
This repo includes some graph-based CTR prediction models and other representative baselines.
Created
2022-01-08
8 commits to main branch, last one 9 months ago
A Python/C++ implementation of Bayesian Factorization Machines
Created
2019-12-21
150 commits to main branch, last one about a year ago
a simple yet versatile recommendation systems library in python
Created
2016-07-27
54 commits to master branch, last one about a year ago