LiuJi0826

LiuJi0826's Stars

• Jinfeng-Xu/FKAN-GCF

  Language:Python166

• QinHsiu/ICSRec

  [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".

  Language:Python193

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook13.8k1.2k

• vulus98/Rethinking-attention

  My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

  Language:Python333

• Beomi/InfiniTransformer

  Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

  Language:Python31024

• ljy0ustc/LLaRA

  Language:Python673

• 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

  Language:Python4.2k720

• datawhalechina/fun-rec

  推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

  Language:Jupyter Notebook3.8k755

• 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

  Language:Python503114

• HKUDS/DSL

  [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"

  Language:Python223

• yuangh-x/2022-NIPS-Tenrec

  Language:Python19229

• riktor/safer2-recommender

  Language:C++3

• yimutianyang/HGSR

  Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation

  Language:Python81

• Riwei-HEU/AHNS

  Adaptive Hardness Negative Sampling for Collaborative Filtering, AAAI2024

  Language:Jupyter Notebook6

• Skyyyy0920/MTNet

  Code implementation for our paper "Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation" (AAAI-2024)

  Language:Python101

• shreyasc-13/SUnO

  SUnO: Distributional Off-Policy Evaluation for Slate Recommendations

  Language:Python3

• yehjin-shin/BSARec

  An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention, AAAI-24

  Language:Jupyter Notebook293

• ll0ruc/Ada-Retrieval

  Language:Python6

• hulkima/PDRec

  The source code is for the paper: “Plug-in Diffusion Model for Sequential Recommendation” accepted in AAAI 2024 by Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin and Zhanhui Kang.

  Language:Python111

• georgeguo-cn/LGMRec

  [AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".

  Language:Python184

• jhheo0123/VITA

  Language:Python104

• anujksirohi/F2PGNN-AAAI2024

  This repository contains the code for our AAAI 24 paper titled No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation

  Language:Jupyter Notebook2

• LiangcaiSu/STEM

  [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".

  Language:Python312

• WLiK/GLRec

  The code of AAAI'24 paper GLRec: Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations

  Language:Python261

• junyachen/SparseEnNet

  3

• XuHwang/InteRecAgent

  Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

  27

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python165k43.7k

• microsoft/RecAI

  Bridging LLM and Recommender System.

  Language:Jupyter Notebook46039

• anonymous-ninerec/NineRec

  Language:Python31

• isl-org/MultiObjectiveOptimization

  Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

  Language:Python954171