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PDF2zh for Zotero | Zotero PDF中文翻译插件
📖 开箱即用的 PDF 学术翻译神器 | Win + Mac 双平台 | 公式排版完美保留 · Zotero 深度联动 · 35 种语言 · 20+ AI 翻译引擎 · 表格/OCR/术语库 · 批量翻译 | 基于 PDFMathTranslate (EMNLP 2025)
AI-Powered Smart Resume Builder — 50+ professional templates, PDF/image parsing, AI optimization, JD match analysis, multi-format export. Open source & free, one-click Docker deployment.
Coding agent for DeepSeek models that runs in your terminal
Mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured
这是一个用于显示当前网速、CPU及内存利用率的桌面悬浮窗软件，并支持任务栏显示，支持更换皮肤。
将冰冷的离别化为温暖的 Skill，欢迎加入数字生命1.0！Transforming cold farewells into warm skills? It's giving rebirth era. Welcome to Digital Life 1.0. 🫶
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
The agent that grows with you
Highlight and capture the web in your favorite browser. The official Web Clipper extension for Obsidian.
Daily in-depth Chinese analyses of frontier AI research papers, including topics such as LLMs, agents, RAG, and RL. AI 前沿论文中文深度解读
Keep tabs on your tabs. Chrome new tab extension with domain grouping, search bar, dark mode, themes, and bookmarks bar.
🔧Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learning
OpenClaw-RL: Train any agent simply by talking
Official code for "CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges"
GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
为 Agent Swarm 打造的 IDE ，支持 Kimi-2.5, GLM-4.7 等（即使不像 K2.5 那样经过强化学习的模型也能用）An IDE built for Agent Swarms, supporting Kimi-2.5, GLM-4.7, and more (compatible with models even without RL-reinforcement li…
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
AI agents running research on single-GPU nanochat training automatically
📖 A curated list of LegalNLP resources from all around the web.
[NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"