Stars
App for Claude Code / Codex / Gemini / OpenCode, vibe coding anytime, anywhere
哈喽！龙虾 🙋♀️ Adopt from scratch and build your first claw 🦞 来领养你的第一只龙虾！
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
💻 vibe coding 2026 | Your first modern programming course for beginners to master step by step.
Mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured
你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候，对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.
Jetbrains Claude Code and Codex GUI Plugin
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works…
Make zotero7 and zotero8 plugins better, including note templates, tag actions, GPT command tag, etc.
AcadHomepage: A Modern and Responsive Academic Personal Homepage
基于大模型(DeepSeek,OpenAI等)的 GitLab 自动代码审查工具；支持钉钉/企业微信/飞书推送消息和生成日报；支持Docker部署；可视化 Dashboard。
The Open-Source Data Annotation Platform
The official Soundwave repository
Inference and training library for high-quality TTS models.
⏰ Agenticly track worldwide conference deadlines (Website, Python Cli, Wechat Applet)
Awesome speech/audio LLMs, representation learning, and codec models
Daily tracking of awesome audio papers, including music generation, zero-shot tts, asr, audio generation
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
open-source agentic AI data assistant for the next generation of AI + Data products.
Fine-tune mistral-7B on 3090s, a100s, h100s
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.5, DeepSeek-R1, GLM-5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, Phi4, ...)…
The official implementation of Self-Play Fine-Tuning (SPIN)
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。