Starred repositories
Making data higher-quality, juicier, and more digestible for foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Protocol Buffers - Google's data interchange format
A unified, comprehensive and efficient recommendation library
A collection of various deep learning architectures, models, and tips
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
some usefult utils like change tools and city lon and lat
DeepTables: Deep-learning Toolkit for Tabular data
recommendation algorithms(such as Sequential Recommendation, GNN and so on)
《Linux 高性能服务器编程》和《Linux多线程服务端编程：使用muduo C++网络库》的笔记和源码，以及两个轻量级服务器的项目代码
⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。