#计算机科学#Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
翻译 - 基于深度学习的CTR模型的易于使用，模块化和可扩展的软件包。
#计算机科学#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...
翻译 - 高性能，易于使用且可扩展的机器学习（ML）软件包，包括适用于Python和CLI接口的线性模型（LR），因式分解机（FM）和现场感知的因式分解机（FFM）。
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.
翻译 - 用于推荐和广告的深度匹配模型库。训练模型和导出用户和项目的表示向量非常容易，可用于ANN搜索。
#计算机科学# fastFM: A Library for Factorization Machines
Factorization Machine models in PyTorch
TensorFlow implementation of an arbitrary order Factorization Machine
#计算机科学#DeepTables: Deep-learning Toolkit for Tabular data
#计算机科学#Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communicat...
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...
#计算机科学#TenforFlow Implementation of Neural Factorization Machine
#计算机科学#TensorFlow Implementation of Attentional Factorization Machine
#计算机科学#Some deep learning based recsys for open learning.
#计算机科学#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...
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
#计算机科学#A library for factorization machines and polynomial networks for classification and regression in Python.
#计算机科学#A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
#计算机科学#Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
#计算机科学#Fwumious Wabbit, fast on-line machine learning toolkit written in Rust