deepfm

There are 13 repositories under deepfm topic.

DeepCTR
shenweichen / DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
autoint click-through-rate ctr deep-learning deepcross deepfm deepinterestevolutionnetwork deepinterestnetwork dien din esmm factorization-machines ffm fgcnn mlr mmoe nfm ple recommendation xdeepfm
Language:Python 7374
PaddlePaddle / PaddleRec
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
deepfm esmm gru4rec lr mmoe ple tdm widedeep word2vec
Language:Python 4120
shenweichen / DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
deepctr ctr-models deep-learning deepctr-pytorch deepfm fibinet xdeepfm torchrec deeprec
Language:Python 2846
ChenglongChen / tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
factorization-machine deepfm ctr-prediction deep-ctr ctr click-through-rate
Language:Python 2031
ZiyaoGeng / RecLearn
Recommender Learning with Tensorflow2.x
afm criteo ctr-prediction dcn deepcross deepfm factorization-machine ffm fm matrix-factorization ncf neural-network nfm pnn python3 recommender-system tensorflow2 widedeep xdeepfm
Language:Python 1815
alibaba / EasyRec
A framework for large scale recommendation algorithms.
recommendation-algorithms recommender-system dssm esmm mind deepfm dlrm autoint din eges pdn online-learning deepmatching multi-task-learning automl capsule-network transformers-models wide-and-deep ctr-prediction
Language:Python 1519
rixwew / pytorch-fm
Factorization Machine models in PyTorch
factorization-machines pytorch deepfm xdeepfm autoint ffm fm nfm fnfm dcn pnn movielens-dataset criteo-dataset avazu-dataset ctr-prediction collaborative-filtering neural-collaborative-filtering hofm
Language:Python 988
qiaoguan / deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
ctr ctr-prediction ad-algorithm deep-ctr recommendation-algorithms esmm deep-interest-network deepfm deep-cross resnet xdeepfm afm factorization-machine transformer recommendation recommendation-algorithm fibinet
Language:Python 902
lambdaji / tf_repos
TensorFlow Script
deep-learning ctr-prediction tensorflow multi-task-learning pnn deepfm wide-and-deep din
Language:Python 680
DataCanvasIO / DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
tabular-data deep-learning deepfm fm afm dcn-model ctr-prediction pnn xdeepfm wide-and-deep autoint fgcnn fibinet factorization-machines structured-data
Language:Python 644
jc-LeeHub / Recommend-System-tf2.0
原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！
fm ffm widedeep deepfm fnn pnn dien dsin afm dcn autoint fgcnn ccpm tf2
Language:Python 629
AmazingDD / 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)
afm biasmf cdae collaborative-filtering deepfm ease factorization-machines item2vec k-nearest-neighbors matrix-factorization neumf neural-collaborative-filtering nfm pytorch recommender-system slim svdpp vae
Language:Python 545
huangjunheng / recommendation_model
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
pytorch mf fm deepconn mmoe ple deepfm nfm dcn afm autoint onn fibinet widedeep dcnv2 afn dcap
Language:Python 469
DSXiangLi / CTR
CTR模型代码和学习笔记总结
ctr-prediction recommendation-algorithms wide-and-deep fm ffm tensorflow pnn fnn deepfm afm nfm frappe deep-cross dcn xdeepfm fibinet deepinterestnetwork
Language:Python 367
chenxijun1029 / DeepFM_with_PyTorch
A PyTorch implementation of DeepFM for CTR prediction problem.
deepfm pytorch ctr-prediction
Language:Python 360
UlionTse / mlgb
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。
ctr-prediction deep-learning machine-learning recommender-system autoint dcn deepfm din dssm esmm fibinet mind mmoe ple pnn edcn masknet pepnet xdeepfm dsin
Language:Python 315
ChenglongChen / tensorflow-XNN
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
ctr ctr-prediction deep-ctr deepfm factorization-machines fm kaggle-competition snapshot-ensemble
Language:Python 280
sisinflab / elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
recommender-system machine-learning collaborative-filtering content-based-recommendation bprmf matrix-factorization vae svdpp funksvd slim neural-collaborative-filtering k-nn k-nearest-neighbours nfm knowledge-graph recommendations tensorflow2 keras deepfm
Language:Python 266
JianzhouZhan / Awesome-RecSystem-Models
Implements of Awesome RecSystem Models with PyTorch/TF2.0
pytorch fm ffm deepfm xdeepfm ctr dcn pnn tensorflow2
Language:Python 253
GitHub-HongweiZhang / prediction-flow
Deep-Learning based CTR models implemented by PyTorch
pytorch ctr ctr-prediction deep-learning deepfm deepinterestnetwork dnn deepneuralnetworks din recommendation prediction-flow torch ctr-models machine-learning attention-mechanism attention dien deepinterestevolutionnetwork wide-and-deep
Language:Python 248
tangxyw / RecAlgorithm
主流推荐系统Rank算法的实现
recommendation ffm pnn nfm afm dcn deepcrossing wide-and-deep deepfm xdeepfm din bst fibinet mmoe esmm ple deep-learning ranking ctr
Language:Python 151
HaSai666 / 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.
ctr-prediction deep-learning multi-task-learning ranking-algorithm recommendation-system comirec deepfm pytorch recommender-system collaborative-filtering graph-neural-networks graph-recommendations sequential-recommendation
Language:Python 150
QikaiXu / Recommender-System-Pytorch
基于 Pytorch 实现推荐系统相关的算法
pytorch recommender-system lr mlr gbdt-lr fm ffm deep-crossing pnn wide-deep dcn fnn deepfm nfm afm din dien lfm neural-cf
Language:Jupyter Notebook 143
Hirosora / LightCTR
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
ctr click-through-rate cvr convertion-rate deepfm pnn fnn wide-and-deep deep-and-cross xdeepfm tf2 tensorflow nfm afm autoint ccpm fgcnn mlr fibinet nffm
Language:Python 103
Gavince / Recommend-System
深度学习与推荐系统学习，理论结合代码更香。
deep-learning recommender-system deepfm wide-and-deep cold-start ranking-algorithm embeddings
Language:Jupyter Notebook 74
qian135 / ctr_model_zoo
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
ctr click-through-rate factorization-machines ffm deepfm xdeepfm deepinterestnetwork pytorch machine-learning deep-learning
Language:Jupyter Notebook 69
Tongjilibo / rec4torch
推荐系统的pytorch算法实现
ctr deepfm dien widedeep
Language:Python 66
shawroad / DeepCTR-pytorch
Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
fm nfm deepfm pnn xdeepfm autoint deepcorss widedeep
Language:Python 56
yxtay / recommender-tensorflow
Recommendation Models in TensorFlow
recommender-system recommendation-engine tensorflow movielens factorization-machine deep-learning wide-and-deep deepfm google-cloud-platform tensorflow-distributed cloud-ml-engine google-cloud-ml-engine
Language:Python 43
JingyibySUTsoftware / ECRS_Web
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
deep-learning deepfm dssm flask gevent grpc layui layuimini milvus nginx paddlepaddle paddleserving python3 recommendation-system redis
Language:JavaScript 38
zeroized / DeepRec-torch
Easy-to-use pytorch-based framework for RecSys models
fm deepfm pnn fnn pytorch ctr deep-learning afm wide-and-deep dcn flen autoint
Language:Python 38
shibing624 / rater
rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。
rater recommendation-system ctr-models algorithms deepfm wide-and-deep pnn ffm xdeepfm
Language:Python 37
cyhong549 / DeepFM-Keras
deepfm keras
Language:Python 29
YinzhenWan / recome_wan
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。
dcn deepfm fibinet mmoe comirec gru4rec mind line lightgcn youtubednn node2vec deepwalk din graphsage sdne eges
Language:Python 28
HanpyBin / recommendation-system-model
Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep
deepcross deepfm nfm recommendation-system wide-and-deep
Language:Python 25
TIXhjq / ML_Function
一些CTR模型和常见特征工程的方法
ctr feature-enginner fm pnn deepcross widedeep deepfm dcn nfm xdeepfm afm autoint din dien dsin seqfm dts mimn sim
Language:Python 24

deepfm

shenweichen / DeepCTR

PaddlePaddle / PaddleRec

shenweichen / DeepCTR-Torch

ChenglongChen / tensorflow-DeepFM

ZiyaoGeng / RecLearn

alibaba / EasyRec

rixwew / pytorch-fm

qiaoguan / deep-ctr-prediction

lambdaji / tf_repos

DataCanvasIO / DeepTables

jc-LeeHub / Recommend-System-tf2.0

AmazingDD / daisyRec

huangjunheng / recommendation_model

DSXiangLi / CTR

chenxijun1029 / DeepFM_with_PyTorch

UlionTse / mlgb

ChenglongChen / tensorflow-XNN

sisinflab / elliot

JianzhouZhan / Awesome-RecSystem-Models

GitHub-HongweiZhang / prediction-flow

tangxyw / RecAlgorithm

HaSai666 / rec_pangu

QikaiXu / Recommender-System-Pytorch

Hirosora / LightCTR

Gavince / Recommend-System

qian135 / ctr_model_zoo

Tongjilibo / rec4torch

shawroad / DeepCTR-pytorch

yxtay / recommender-tensorflow

JingyibySUTsoftware / ECRS_Web

zeroized / DeepRec-torch

shibing624 / rater

cyhong549 / DeepFM-Keras

YinzhenWan / recome_wan

HanpyBin / recommendation-system-model

TIXhjq / ML_Function