Repository for OpenCV's extra modules

MIT6.824作业 - 基于Raft的分布式KV存储

A coroutine framework aimed at high-concurrency io with reasonable latency, based on io_uring.

现代C++模板教程

Approaching (Almost) Any Machine Learning Problem

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Godot Engine – Multi-platform 2D and 3D game engine

LaTeX template for USTC thesis

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

workspace是基于C++11的轻量级异步执行框架，支持：通用任务异步并发执行、优先级任务调度、自适应动态线程池、高效静态线程池、异常处理机制等。

An official read-only mirror of http:https://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to …

This repository record My study of DataAnalysis including operation and conception.(学习数据分析的过程记录，总结，以及资料整理收集)

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

Achieve a tiny STL in C++11

从零开始的 JSON 库教程

C++高性能分布式服务器框架,webserver,websocket server,自定义tcp_server（包含日志模块，配置模块，线程模块，协程模块，协程调度模块，io协程调度模块，hook模块，socket模块，bytearray序列化，http模块，TcpServer模块，Websocket模块，Https模块等, Smtp邮件模块, MySQL, SQLite3, ORM,Red…

Inference code for Llama models

Maintain your CV in Markdown ✨

MarkDown在线简历工具，可在线预览、编辑和生成PDF。[此项目已不再维护，建议使用 cv.ftqq.com 替代 ]

Resume template for Chinese programmers . 程序员简历模板系列。包括PHP程序员简历模板、iOS程序员简历模板、Android程序员简历模板、Web前端程序员简历模板、Java程序员简历模板、C/C++程序员简历模板、NodeJS程序员简历模板、架构师简历模板以及通用程序员简历模板

A collection of various deep learning architectures, models, and tips

Kandinsky 2 — multilingual text2image latent diffusion model

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Notes from books and other interesting things that I've read. Table of contents at the end 👇