little_devil's starred repositories
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
golang-guide
「Golang学习+面试指南」一份涵盖大部分 Golang程序员所需要掌握的核心知识。准备 Golang面试,首选 GolangGuide!
blog_demos
CSDN博客专家程序员欣宸的github,这里有六百多篇原创文章的详细分类和汇总,以及对应的源码,内容涉及Java、Docker、Kubernetes、DevOPS等方面
go-zero-looklook
🔥基于go-zero(go zero) 微服务全技术栈开发最佳实践项目。Develop best practice projects based on the full technology stack of go zero (go zero) microservices.
go-zero-admin
go-zero-admin: 基于go-zero和gorm开发的分布式微服务后端权限管理系统脚手架。十分合适新手入手go-zero、gorm、casbin、jwt等。自定义go-zero模板返回错误。
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
xxim-server
惺惺 —— 属于你的社交地盘!惺惺是一个100%开源社交平台,每个人都可以搭建自己的服务器,掌握数据的所有权。此APP非盈利项目!
paper_downloader
Download papers and supplemental materials from open-access paper website, such as AAAI, AISTATS, COLT, CORL, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS, RSS, WACV.
Awesome-Events
可参加竞赛/培训及实习活动
awesome-database-learning
A list of learning materials to understand databases internals
awesome-free-chatgpt
🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.
talent-plan
open source training courses about distributed database and distributed systems
awesome-chatgpt
⚡ Everything about ChatGPT
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
awesome-cpp-cn
C++ 资源大全中文版,标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。
yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏
C-CppLearning
C语言与C++学习
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
CPlusPlusThings
C++那些事
-Computer-Basics-Notes
计算机组成原理、计算机网络、数据结构、操作系统思维导图
spring-boot-online-exam
基于Spring Boot的在线考试系统(预览地址 http://129.211.88.191 ,账户分别是admin、teacher、student,密码是admin123),也有Python实现
Physiological-Signal-Classification-Papers
A list of papers for physiological signal classification using machine learning/deep learning.