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An easy-to-use framework for large scale recommendation algorithms.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Open Source Ad Serving Platform with ML-Powered CTR Prediction | Self-hosted alternative to Google Ad Manager | Python, FastAPI, PyTorch

A framework for large scale recommendation algorithms.

🚀DeepFM Model by Pytorch

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」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。

经典推荐算法的代码实践，持续更新中

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…

An implementation of a recommender system pipeline using PyTorch

Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep

DeepTables: Deep-learning Toolkit for Tabular data

My recent projects

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

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)

Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

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

repo for practicing DL/genAI

Factorization Machine models in PyTorch