Topic: deepfm Goto Github
Some thing interesting about deepfm
Some thing interesting about deepfm
deepfm,Experiment results using FM, FFM and DeepFM algorithms in Criteo Display Advertising Challenge(https://www.kaggle.com/c/criteo-display-ad-challenge) dataset
User: aldente0630
deepfm,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)
User: amazingdd
deepfm,re-implementation of DeepFM with torch 1.0
User: amazingdd
deepfm,In this demo, we show two samples about deepfm distributed training on Amazon SageMaker, one is based on Tensorflow Parameter Server on CPU and the other one is based on Horovod on GPU.
Organization: aws-samples
deepfm,ctr and rank model used by keras
User: baojunshan
deepfm,Tensorflow implementation of DeepFM for CTR prediction.
User: chenglongchen
deepfm,4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
User: chenglongchen
Home Page: https://www.kaggle.com/c/mercari-price-suggestion-challenge
deepfm,基于ESMM、MMoE和deepFM的多目标模型
User: chenwr727
deepfm,A PyTorch implementation of DeepFM for CTR prediction problem.
User: chenxijun1029
deepfm,DeepTables: Deep-learning Toolkit for Tabular data
Organization: datacanvasio
Home Page: https://deeptables.readthedocs.io
deepfm,CTR模型代码和学习笔记总结
User: dsxiangli
deepfm,A easy library for recommendation system or computational advertising
User: end-the-cold-night
deepfm,使用多模型融合对恶意软件进行识别分类
User: funkpopo
deepfm,深度学习与推荐系统学习,理论结合代码更香。
User: gavince
deepfm,Deep-Learning based CTR models implemented by PyTorch
User: github-hongweizhang
deepfm,Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep
User: hanpybin
deepfm,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.
User: hasai666
Home Page: https://hasai666.github.io/rec_pangu/
deepfm,LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
User: hirosora
deepfm,练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
User: huangjunheng
deepfm,AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.
User: ife1er
deepfm,SIGSPATIAL 2021 GISCUP ETA Contest
User: jerrywn121
deepfm,Implements of Awesome RecSystem Models with PyTorch/TF2.0
User: jianzhouzhan
deepfm,基于PaddleRec的电商推荐系统(Linux部署版)
User: jingyibysutsoftware
deepfm,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
User: jingyibysutsoftware
deepfm,TensorFlow Script
User: lambdaji
deepfm,Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.
User: licesonw
deepfm,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,AutoFIS等,包含经典推荐系统数据集criteo 、movielens等
Organization: paddlepaddle
Home Page: https://paddlerec.readthedocs.io/
deepfm,AI theory & action...
User: pkusp
deepfm,some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
User: qian135
deepfm,CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
User: qiaoguan
Home Page: https://github.com/qiaoguan/deep-ctr-prediction
deepfm,基于 Pytorch 实现推荐系统相关的算法
User: qikaixu
deepfm,Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
User: shenweichen
Home Page: https://deepctr-doc.readthedocs.io/en/latest/index.html
deepfm,【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
User: shenweichen
Home Page: https://deepctr-torch.readthedocs.io/en/latest/index.html
deepfm,rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。
User: shibing624
deepfm,Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Organization: sisinflab
deepfm,主流推荐系统Rank算法的实现
User: tangxyw
deepfm,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。
User: uliontse
deepfm,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。
User: yinzhenwan
Home Page: https://github.com/YinzhenWan/recome_wan
deepfm,Recommendation Models in TensorFlow
User: yxtay
deepfm,Easy-to-use pytorch-based framework for RecSys models
User: zeroized
deepfm,Recommender Learning with Tensorflow2.x
User: ziyaogeng
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