refactor: 重组项目目录结构
以讲义内容为骨架迁移到标准目录格式： - officefile/ 主内容（12章 + 附录 + CC4SI补充） - dofile/ 代码示例（11个Python脚本） - data/ 图片资源 - output/ 生成输出（忽略） - Archive/ 归档旧目录（忽略） - .claude/skills/ 保留markdown-to-docx工具链 - .pandoc/ 保留CSL和本地化配置 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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# 附录A：编程工具与资源
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本附录整理AI学习和实践所需的编程工具、框架和资源。
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---
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## Python环境配置
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### Anaconda/Miniconda
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| 工具 | 大小 | 特点 | 下载地址 |
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|-----|------|------|---------|
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| Anaconda | ~500MB | 预装常用库 | [anaconda.com](https://www.anaconda.com/download) |
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| Miniconda | ~50MB | 精简安装 | [docs.conda.io](https://docs.conda.io/en/latest/miniconda.html) |
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### 安装步骤
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```bash
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# 1. 下载并安装Miniconda
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# 2. 创建虚拟环境
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conda create -n ai-env python=3.10
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# 3. 激活环境
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conda activate ai-env
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# 4. 安装核心库
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pip install torch torchvision numpy pandas scipy
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```
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---
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## 深度学习框架
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### PyTorch
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```bash
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pip install torch torchvision torchaudio
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```
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**特点**：
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- 动态计算图
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- 研究友好
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- 广泛的社区支持
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**资源**：
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- [官方文档](https://pytorch.org/docs/)
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- [中文教程](https://pytorch.zhangxiann.com/)
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### TensorFlow
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```bash
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pip install tensorflow
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```
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**特点**：
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- 生产部署优化
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- Keras高级API
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- 跨平台支持
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---
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## 计算机视觉工具
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### OpenCV
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```bash
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pip install opencv-python
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```
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**功能**：图像处理、视频分析
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### Ultralytics YOLO
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```bash
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pip install ultralytics
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```
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**功能**：目标检测、实例分割
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**使用示例**：
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```python
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from ultralytics import YOLO
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model = YOLO('yolov8n.pt')
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results = model('image.jpg')
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```
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---
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## AIGC工具链
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### Stable Diffusion
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**WebUI**：[Automatic1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
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**ComfyUI**：[GitHub](https://github.com/comfyanonymous/ComfyUI)
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**API调用**：
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```python
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from diffusers import StableDiffusionPipeline
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pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
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image = pipe("a photo of an astronaut riding a horse on mars").images[0]
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```
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### ControlNet
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```python
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from diffusers import StableDiffusionControlNetPipeline
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controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-canny")
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pipe = StableDiffusionControlNetPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", controlnet=controlnet)
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```
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### Midjourney
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**平台**：Discord
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**文档**：[docs.midjourney.com](https://docs.midjourney.com/)
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---
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## Agent开发框架
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### LangChain
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```bash
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pip install langchain langchain-openai
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```
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**功能**：LLM应用开发框架
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**核心组件**：
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- Models：LLM接口
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- Prompts：提示管理
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- Chains：链式调用
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- Agents：智能体
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- Memory：记忆管理
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### LangGraph
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```bash
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pip install langgraph
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```
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**功能**：状态机式Agent开发
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### LlamaIndex
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```bash
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pip install llama-index
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```
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**功能**：数据索引与检索（RAG）
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---
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## 开发工具
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### VSCode
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**AI开发常用插件**：
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- Python
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- Pylance
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- Jupyter
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- Copilot
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### Cursor
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**特点**：AI原生IDE
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**网址**：[cursor.com](https://cursor.com/)
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### Jupyter Lab
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```bash
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pip install jupyterlab
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jupyter lab
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```
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---
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## 在线学习资源
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### 课程
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| 名称 | 平台 | 链接 |
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|-----|------|------|
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| CS231n | Stanford | [cs231n.stanford.edu](http://cs231n.stanford.edu/) |
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| Fast.ai | fast.ai | [course.fast.ai](https://course.fast.ai/) |
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| 吴恩达深度学习 | Coursera | [coursera.org/specializations/deep-learning](https://www.coursera.org/specializations/deep-learning) |
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### 博客与文档
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- [Lil'Log](https://lilianweng.github.io/) - AI深度文章
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- [The Illustrated Transformer](https://jalammar.github.io/illustrated-transformer/)
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- [Distill.pub](https://distill.pub/) - 可视化论文
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### 数据集
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| 数据集 | 内容 | 链接 |
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|-------|------|------|
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| ImageNet | 图像分类 | [image-net.org](https://www.image-net.org/) |
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| COCO | 目标检测 | [cocodataset.org](https://cocodataset.org/) |
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| OpenStreetMap | 地图数据 | [openstreetmap.org](https://www.openstreetmap.org/) |
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---
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## 模型资源
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### Hugging Face
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**网址**：[huggingface.co](https://huggingface.co/)
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**功能**：
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- 模型仓库
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- 数据集
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- Spaces在线演示
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### 常用模型
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| 任务 | 推荐模型 | Hugging Face ID |
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|-----|---------|----------------|
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| 文生图 | Stable Diffusion XL | stabilityai/stable-diffusion-xl-base-1.0 |
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| 目标检测 | YOLOv8 | Ultralytics |
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| 语义分割 | SAM | segment-anything |
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| 大语言模型 | Llama 3 | meta-llama/Meta-Llama-3-8B |
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---
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## 硬件资源
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### 云平台
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| 平台 | 特点 | 适合场景 |
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|-----|------|---------|
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| Google Colab | 免费GPU | 学习实验 |
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| Kaggle Notebooks | 免费GPU | 竞赛 |
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| AutoDL | 按时计费 | 中期项目 |
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| 阿里云PAI | 国内稳定 | 生产部署 |
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### 本地GPU
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推荐配置：
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- GPU：RTX 3060 (12GB) 或更高
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- 内存：16GB+
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- 存储：至少100GB SSD
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---
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## 最后更新
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2026年4月
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