Stars
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratc…
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET),兼容 ClashX Pro、Clash for Windows 等基于 Clash Premium 内核的客户端。
面向 OpenClash 用户的综合配置与扩展资源库,提供图文设置方案、订阅转换模板、YAML 配置示例与远程 YAML 部署方式,收录直连、代理、Steam CDN、加密 DNS 及游戏等规则碎片,并配套 OpenClash 安装、更新与架构检测脚本、覆写模块资源,以及 IPv6 配置方案和故障排除文档。
chinese translation of llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/
Master programming by recreating your favorite technologies from scratch.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors
微信公众号文章批量下载工具,支持评论、合集下载,支持保存html/mhtml/md/pdf/docx/csv文件,保存文章内图片、视频、音频文件,支持MCP/Skill调用
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Course materials for my Udemy Python Fundamentals course
Python Deep Dive Course - Accompanying Materials
😎 Awesome lists about all kinds of interesting topics
Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
收集分享 AI 大型语言模型 (LLM)、AI 辅助编程、AI 绘画等领域的常用资料,探索生成式人工智能的应用与开发。
The fastai book, published as Jupyter Notebooks
A technical report on convolution arithmetic in the context of deep learning
Code Repository for Machine Learning with PyTorch and Scikit-Learn
❤️中国科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!