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Beijing University of Posts and Telecommunications
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A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.
Make the management of metadata easier
The Overleaf LaTeX template of the bupt graduate thesis.
Patterns and resources of low latency programming.
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
🎓Automatically Update Recommendation Papers Daily using Github Actions (Update Every 12th hours)
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
🔥🔥🔥 Latest Advances on Large Recommendation Models
A unified architecture deep learning framework designed specifically for ultra-large-scale sparse models.
Examples for Recommenders - easy to train and deploy on accelerated infrastructure.
A curated list of materials on AI efficiency
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
All Cursor AI's official download links for both the latest and older versions, making it easy for you to update, downgrade, and choose any version. 🚀
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
Set of datasets for the deep learning recommendation model (DLRM).
Benchmarks of approximate nearest neighbor libraries in Python
北邮北京邮电大学校园网网关自动化认证脚本。支持有线网和无线网。支持带参数 Portal 认证、AC 跳转、掉线重连。跨平台。 BUPT Network Login.
Now we have become very big, Different from the original idea. Collect premium software in various categories.
An ultra-light MacOS utility that helps hide menu bar icons
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
A memory efficient DLRM training solution using ColossalAI
Pytorch domain library for recommendation systems