xiaxin1998

xiaxin1998's Stars

• yangjianxin1/Firefly

  Firefly: 大模型训练工具，支持训练Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

  Language:Python5.2k471

• xiaxin1998/EODRec

  Codes for TOIS Paper: Efficient On-Device Session-Based Recommendation

  Language:Python112

• xiaxin1998/ODUpdate

  Codes for paper 'Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation' accepted by CIKM'23.

  Language:Python31

• westlake-repl/Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review

  Paper List of Pre-trained Foundation Recommender Models

  25620

• shaoyx/UniNet

  Language:C++311

• xiaxin1998/OD-Rec

  Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'

  Language:Python12

• guocheng18/Sequential-Recommendation-Datasets

  Download and preprocess popular sequential recommendation datasets

  Language:Python17826

• JJumSSu/WordEmbedding2Code

  Pytorch Implementation of the paper "Compressing Word Embeddings via Deep Compositional Code Learning"

  Language:Python4

• Coder-Yu/SELFRec

  An open-source framework for self-supervised recommender systems.

  Language:Python47768

• msobroza/compositional_code_learning

  Reproduce the results of paper "Compressing Word Embeddings via Deep Compositional Code Learning" accepted ICLR 2018

  Language:Python232

• ssui-liu/learnable-embed-sizes-for-RecSys

  A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems

  Language:Python609

• mit-han-lab/tinyml

  Language:Python724132

• THUwangcy/ReChorus

  “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

  Language:Python50990

• SamHaoYuan/EMBSR

  To be continued

  Language:Jupyter Notebook92

• xiaxin1998/DHCN

  Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

  Language:Python16427

• leonvking0/Recommendation_Algos

  Algorithms from paper: Evaluation of Session-based Recommendation Algorithms

  Language:Python164

• xiaxin1998/COTREC

  Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.

  Language:Python526

• jack-willturner/deep-compression

  Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

  Language:Jupyter Notebook17441

• salesforce/CoMatch

  Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

  Language:Python12322

• dongkwan-kim/SuperGAT

  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

  Language:Python14826

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python912184

• Coder-Yu/QRec

  QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

  Language:Python1.6k404

• wzhe06/Reco-papers

  Classic papers and resources on recommendation

  Language:Python3.3k803