A framework for large scale recommendation algorithms.

repo for practicing DL/genAI

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFI…

My recent projects

Factorization Machine models in PyTorch

TensorFlow Script

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

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

DeepTables: Deep-learning Toolkit for Tabular data

推荐系统的pytorch算法实现

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

使用多模型融合对恶意软件进行识别分类

A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area

A data analysis project to classify whether an applicant is capable of paying a home loan by using 4 machine learning models (Logistic Regression, SVM, Random Forest and LGBM) and 1 deep learning model (DeepFM). We also drew some insights from the best model that can be useful for analysts in bank.

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

主流推荐系统Rank算法的实现

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.

基于深度学习的商品推荐系统，高性能，可承受高并发，可跨平台

用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。