⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.

基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版

TradingAgents: Multi-Agents LLM Financial Trading Framework

Turn Claude Code into a full game dev studio — 48 AI agents, 36 workflow skills, and a complete coordination system mirroring real studio hierarchy.

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

The agent engineering platform

Production-ready platform for agentic workflow development.

A C# port of shadowsocks

bipartite-graph-learning

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

😎 Awesome lists about all kinds of interesting topics

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

一个前后端分离的简单博客案例，适合刚入门vue，学前后端分离的童鞋！

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes

Native port of Redis for Windows. Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Se…

根据图像处理计算米粒数的GUI

Command & Conquer: Remastered Collection

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Classic papers and resources on recommendation

Creative cellular automata browser game

Web版微信主要参考Web微信协议进行设计开发，我们希望实现的功能包括基本的登录、聊天群发功能（文本/表情/图片/文件/公众号链接）、公众号阅读、聊天记录导出保存、用户画像、聊天机器人

RSTutorials: A Curated List of Must-read Papers on Recommender System.

A curated list of awesome resources about Recommender Systems.

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

GNNs in Recommendation Systems