dannieldwt's Stars
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
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
RUCAIBox/Awesome-RSPapers
Recommender System Papers
reczoo/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
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。
awarebayes/RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
hyseob/MDNet
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
jiawei-chen/RecDebiasing
This repository collects debiasing methods for recommendation
HenryHZY/Awesome-Multimodal-LLM
Research Trends in LLM-guided Multimodal Learning.
mengchaoheng/SCUT_thesis
华南理工大学硕博士学位论文模板(LaTeX)。Latex templates for the thesis of South China University of Technology
hsinyilin19/ResNetVAE
Variational AutoEncoder + ResNet Transfer Learning
fuxiAIlab/RL4RS
A Real-World Benchmark for Reinforcement Learning based Recommender System
gabrielhuang/reptile-pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
RUCAIBox/RecBole-GNN
Efficient and extensible GNNs enhanced recommender library based on RecBole.
dragen1860/Reptile-Pytorch
massquantity/DBRL
Dataset Batch(offline) Reinforcement Learning for recommender system
xinshi-chen/GenerativeAdversarialUserModel
Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
julianstastny/VAE-ResNet18-PyTorch
A Variational Autoencoder based on the ResNet18-architecture
ZZy979/GNN-Recommendation
毕业设计:基于图神经网络的异构图表示学习和推荐算法研究
backgom2357/Recommender_system_via_deep_RL
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.
shashist/recsys-rl
Course project for https://deeppavlov.ai/rl_course_2020
jan-xu/autoencoders
Various autoencoders with ResNet, DenseNet and U-Net implementations, as well as VAE and GAN implementations.
MorganSQ/Ks-D2Q
FeliMe/feature-autoencoder
Anomaly localization using autoencoder models in the feature space of a ResNet
msxiaojin/MDLCC
aphamm/gnn-recommender
neural graph collaborative filtering for song recommendation using PyTorch Geometric
mengchaoheng/SCUT_beamer
本模板用于撰写华南理工大学答辩幻灯片