Stars
Access latex source of any arxiv.org paper directly on overleaf
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
RecStudio-Industry is a Pytorch-based recommendation system development toolkit aimed at industrial internet applications.
Comprehensive tools and frameworks for developing foundation models tailored to recommendation systems.
Retrieval and Retrieval-augmented LLMs
A repository listing important datasets for multimodal recommender systems
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
A curated list of awesome resources about multimodal recommender systems.
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
The Missing Semester of Your CS Education 📚
📚 Freely available programming books
An industrial deep learning framework for high-dimension sparse data
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
Decoder only transformer, built from scratch with PyTorch
Language model alignment-focused deep learning curriculum
Self implementation of course projects for Computer Architecture 2022 Spring
人工智能基础 2023春 吉建民 课程实验