FlySB's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
GrowingGit/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
PKUFlyingPig/cs-self-learning
计算机自学指南
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
qinguoyi/TinyWebServer
:fire: Linux下C++轻量级WebServer服务器
linyacool/WebServer
A C++ High Performance Web Server
husthuke/awesome-knowledge-graph
整理知识图谱相关学习资料
sylar-yin/sylar
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,Redis,Zookeeper)
thunlp/OpenKE
An Open-Source Package for Knowledge Embedding (KE)
easychen/stack-roadmap
方糖全栈路线图2023,为「从螺丝钉到一人企业」补全技能栈
apachecn/ai-roadmap
ApacheCN AI 路线图(知识树)
Shangyizhou/A-Tiny-Network-Library
使用 C++ 11 重构陈硕的 muduo 库,去除 boost 依赖。内部实现有 HTTP 服务器,可支持 GET 请求。
Sujit-O/pykg2vec
Python library for knowledge graph embedding and representation learning.
mniepert/mmkb
Several data modalities for KBs (visual, numerical, temporal, etc.)
7325156/jjwxcNovelCrawler
使用python3爬虫下载晋江小说(可下载VIP章节,app源下载)【此项目仅供学习交流使用,严禁用于商业用途,请在24小时之内删除。】
YangLaTeX/hitszthesis
A dissertation template for Harbin Institute of Technology, ShenZhen (HITSZ), including bachelor, master and doctor dissertations.
CodeZWT/Link-Prediction
链路预测学习代码整理
hello8817/jd-seckill-maotai
京东茅台抢购最新优化版本,京东秒杀,添加误差时间调整,优化了茅台抢购进程队列
CunchaoZ/CyGNet
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
JiapengWu/TeMP
Temporal Message Passing Network for Temporal Knowledge Graph Completion
chuxuzhang/AAAI2020_FSRL
code of FSRL
Songyue-Guo/FedGR
DASFAA2023 FedGR Code Repository. Federated learning for double unbalance settings (sample quantities imbalance for different classes in client and label or class imbalance for different client cross-client)
Jackliaoall-AI-Showmeai-DataCollect/NLP
自然語言處理
nicolasfguillaume/SQL
Assignements of various SQL courses (Introduction to Data Science; Stanford Database course)