Search Packages

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

torchfm

PyTorch implementation of Factorization Machine Models

rec-pangu

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

reclearn

A simple package about learning recommendation

data-function

一些CTR模型和常见特征工程的方法

gbiz-torch

general deep algorithm for business, marketing and advertisement

easy-cs-rec-custommodel

A framework for large scale recommendation algorithms.

pai-easy-rec

An easy-to-use framework for Recommendation

daisyrec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

mlgb

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch.

rec4torch

推荐系统的pytorch算法实现

paddle-rec

paddle-rec

prediction-flow

Deep-Learning based CTR models implemented by PyTorch

xdeepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

rater

rater