cycl2018's Stars
SeekerYb/JDRec
RecFlow-ICLR/RecFlow
LibRerank-Community/LibRerank
LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.
zsyh/Thesis-SE-ZJU-LaTeX
浙大软院研究生毕业论文 Latex 模版(非官方)2021夏季
reczoo/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
alibaba/EasyRec
A framework for large scale recommendation algorithms.
wehos/awesome-graph-transformer
Papers about graph transformers.
facebookresearch/generative-recommenders
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
cycl2018/Recommendation-Editing
Offical code for "Better Late Than Never: Formulating and Benchmarking Recommendation Editing"
boyu-ai/Hands-on-RL
https://hrl.boyuai.com/
state-spaces/mamba
Mamba SSM architecture
jiawei-chen/RecDebiasing
This repository collects debiasing methods for recommendation
Emory-Melody/awesome-graph-reduction
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
pinskyrobin/PRM
Code for paper "Personalized Re-ranking for Recommendation"
yangxudong/deeplearning
深度学习相关的模型训练、评估和预测相关代码
wangshusen/RecommenderSystem
meta-llama/llama3
The official Meta Llama 3 GitHub site
heibaiying/BigData-Notes
大数据入门指南 :star:
ShinhwanKang/BeGin
Easy-to-use framework for graph continual learning with Python
Ablustrund/LoRAMoE
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
superallen13/CaT-CGL
QueuQ/CGLB
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
XueFuzhao/awesome-mixture-of-experts
A collection of AWESOME things about mixture-of-experts
grypesc/SEED
ICLR2024 paper on Continual Learning
amusi/Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
UConn-DSIS/Survey-of-Continual-Learning-on-Graphs
Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复