500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
AI 模型与开发框架教育与学习
artificial-intelligenceartificial-intelligence-projectsawesomecomputer-visioncomputer-vision-projectdata-science
37,719
Stars
7,541
Forks
703
Watchers
71
Open Issues
未知
许可证
未知
语言
2021-01-02
创建时间
2026-09-26
最近更新
项目能做什么
汇集 500 个附带源码的 AI、机器学习、深度学习、计算机视觉和 NLP 实战项目。
来源：基于仓库元数据
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录，命令与配置均以原文为准。
原始 README 摘录（英文原文，节选前 3000 字符）
## 500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲 ***500 AI Machine learning Deep learning Computer vision NLP Projects with code* !!!**  Follow me on LinkedIn : [](https://www.linkedin.com/in/ashishpatel2604/) ***This list is continuously updated.*** - You can take pull requests and contribute. All Links are tested and working fine. Please ping if any link doesn't work | Sr No | Name | Link | | ----- | ------------------------------------------------------------ | ------------------------------------------------------------ | | 1 | 365 Days Computer Vision Learning | [👆](https://github.com/ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post) | | 2 | 125+ NLP Language Models Treasure of Transformers | [👆](https://github.com/ashishpatel26/Treasure-of-Transformers) | | 3 | Andrew NG ML notes | [👆](https://github.com/ashishpatel26/Andrew-NG-Notes) | | 4 | 10 Machine Learning Projects on Time Series Forecasting | [👆](https://medium.com/coders-camp/10-machine-learning-projects-on-time-seri%20es-forecasting-ee0368420ccd) | | 5 | 20 Deep Learning Projects Solved and Explained with Python | [👆](https://thecleverprogrammer.com/2020/11/22/deep-learning-projects-with-python/) | | 6 | 20 Machine learning Project | [👆](https://amankharwal.medium.com/20-machine-learning-projects-for-portfolio-81e3dbd167b1) | | 7 | 30 Python Project Solved and Explained | [👆](https://amankharwal.medium.com/30-python-projects-solved-and-explained-563fd7473003) | | 8 | Machine learning Course for Free | [👆](https://thecleverprogrammer.com/2020/09/24/machine-learning-course/) | | 9 | 5 Web Scraping Projects with Python | [👆](https://amankharwal.medium.com/5-web-scraping-projects-with-python-4bcc25ff039) | | 10 | 20 Machine Learning Projects on Future Prediction with Python | [👆](https://amankharwal.medium.com/20-machine-learning-projects-on-future-prediction-with-python-93932d9a7f7f) | | 11 | 4 Chatbot Project With Python | [👆](https://amankharwal.medium.com/4-chatbot-projects-with-python-5b32fd84af37) | | 12 | 7 Python Gui project | [👆](https://amankharwal.medium.com/7-python-gui-projects-for-beginners-87ae2c695d78) | | 13 | All Unsupervised learning Projects | [👆](https://amankharwal.medium.com/all-uns阅读完整原文
商业机会分析 规则生成（AI 未配置）
综合评分 54.0 分。该项目在“个人可实施性”维度得 35 分，“付费可能性”维度得 20.0 分，差异化空间 100.0 分（评分依据见评分卡）。
面向细分需求的二次开发产品
| 产品构想 | 基于 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code 的核心能力，聚焦一个更窄的场景（如某平台、某行业）做差异化。 |
| 目标用户 | 该细分场景用户 |
| 难度/周期 | 中 · 2~6 周 |
| 收费模式 | 买断制 / 订阅制 / 广告 |
| 竞争风险 | 细分需求规模需验证 |
| 依据 | AI 推测：基于项目主题标签的判断 |
以上为规则引擎基于仓库公开数据生成的参考结论，包含推测成分，不构成投资或创业承诺；配置 AI 后可获得更深入的分析。
报告会保存到 个人中心
竞品与相似项目 GitHub Search 真实检索
| 项目 | 中文简介 | Stars | 语言 |
|---|---|---|---|
| Significant-Gravitas/AutoGPT | 中文介绍暂未生成 AutoGPT is the vision of accessible AI for everyone, to use |
187,990 | Python |
| f/prompts.chat | 中文介绍暂未生成 f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect |
176,883 | MDX |
| thedotmack/claude-mem | 中文介绍暂未生成 Persistent Context Across Sessions for Every Agent – Captur |
116,009 | TypeScript |
| rasbt/LLMs-from-scratch | 中文介绍暂未生成 Implement a ChatGPT-like LLM in PyTorch from scratch, step b |
108,223 | Jupyter Notebook |
| hacksider/Deep-Live-Cam | 中文介绍暂未生成 real time face swap and one-click video deepfake with only a |
97,987 | Python |
| OpenHands/OpenHands | 中文介绍暂未生成 🙌 OpenHands: AI-Driven Development |
93,192 | TypeScript |
以上为通过 GitHub 官方 Search API 检索的相似项目，功能差异与优劣势需进一步人工确认，配置 AI 后可生成对比分析。
项目优势与风险
| 技术成熟度 | 创建于 2021-01-02，最近推送 2026-09-26 |
| 社区活跃 | Star 37,719 / Fork 7,541 / Issue 71（数据支持，可自行核实） |
| 许可证 | 未检测到（需人工确认） |
| 主要风险 | 上游项目方向可能变化；同赛道竞争者较多（见竞品表）；热度与需求不完全等价 |
安装与使用
快速开始（以仓库 README 为准）
git clone https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code.git cd 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code # 请阅读仓库 README 获取确切安装步骤（依赖、配置、启动命令）
术语说明：Docker＝应用容器（把程序和依赖打包运行）；API Key＝调用外部服务的密钥；Git Clone＝把仓库代码下载到本地。常见错误：API Key 未配置 / 端口占用 / 数据库连接失败，多数项目在 README 的 Troubleshooting 章节有说明。