- 1. Open Source
- 2. Data Analysis
- 3. Machine Learning Libraries
- 4. Deep Learning Frameworks
- 5. Books
- 6. English
- 7. My Links
- Awesome-AISourceHub | 全网优质信息源
- 软件安装家园
- GitHub文档 | GitHub中文社区 | gitstar-ranking
- Datawhale | 主页 数据科学与 AI 领域的开源组织
- Haiguang Huang | machine learning
- karpathy | deep learning
- Ruocheng Guo | causal inference
- van der Schaar Lab | Machine Learning and Artificial Intelligence for Medicine
- Kanaries | Make visual exploration accessible for everyone
- lucidrains | Working with Attention. It's all we need
- lyhue1991 | Trainer of dragons and models
- 智源社区 | 人工智能学术社区
- dair-ai | Democratizing Artificial Intelligence Research, Education, and Technologies
- 你缺失的那门计算机课
- Missing-Necessary-Knowledge-for-CS-Students
- computer-science
- missing-semester-en | missing-semester-cn | 计算机教育中缺失的一课
- cs-self-learning | 计算机自学指南
- JS-Sorting-Algorithm | 十大经典排序算法 | 算法+数据结构
- Hello算法 | 数据结构与算法教程
- labuladong的算法笔记
- oi-wiki
- Google开源项目风格指南—中文版
- 重构改善既有代码的设计—中文版
- free-programming-books | every-programmer-should-know
- runoob | running noob 菜鸟教程
- w3school | web开发者资源
- 廖雪峰的官方网站
- IT教程网 | AI之家
- 莫烦python | MorvanZhou
- python | 中文官网 | 中文文档 | tutorial | cheatsheet-1 | cheatsheet-2 | video-1 | video-2
- 英文: https://python.org
- 中文: https://python.p2hp.com
- 代码编辑器: vscode (免费) | pycharm (建议专业版)
- 包管理和环境管理系统: anaconda (建议安装miniconda)
- numpy | 中文文档-1 | 中文文档-2 | numpy速查手册
- 英文: https://numpy.org
- 中文: https://numpy.net
- pandas | 中文文档-1 | 中文文档-2 | joyful-pandas | pandas进阶宝典
- matplotlib | 中文文档-1 | 中文文档-2
- seaborn | 中文文档-1
- plotly | The interactive graphing library for Python
- 图之典 | 可视化图表的词典
- yan-holtz | data-to-viz | dataviz-inspiration | python-graph-gallery
- SciencePlots | Matplotlib styles for scientific plotting
- graphviz | graphviz-visual-editor | GraphvizOnline
- networkx | 用于创建、操作和研究复杂网络的结构、动力学和功能的Python包
- figma | figma中文社区 | 在线UI设计工具
- python数据分析_英文第3版 | 中文第2版
- scikit-learn | 中文文档-1 | 中文文档-2
- pycaret | 中文文档
- lazypredict
- Made-With-ML | Design · Develop · Deploy · Iterate
- AI工具中文文档库
- 数据科学资源
- 官网 | 中文文档1 | 中文文档2 | pytorch-examples-cn | PyTorch常用函数手册
- PyTorch学习笔记
- 深入浅出PyTorch | 完整版 | video
- PyTorch实用教程
- eat_pytorch_in_20_days | 一个有毅力的吃货
- External-Attention-pytorch
- labmlai | 中文版
- pytorch-grad-cam | tutorial | Advanced Explainable AI for computer vision
- AAAMLP-CN | Approaching (Almost) Any Machine Learning Problem 中译版
- ML-notes | DL-notes (吴恩达 Andrew Ng)
- d2l | 动手学深度学习 (李沐)
- leedl-tutorial | 深度学习教程 (李宏毅)
- nndl | 神经网络与深度学习 (邱锡鹏)
- tl-book | tl-code | 迁移学习导论 | DeepDA | tl-repo | (王晋东)
- 深度学习调优指南中文版
- machine-learning-deep-learning-notes
- PaddleEdu
- tiny-universe | 大模型白盒子构建指南
- self-llm | 开源大模型食用指南
- 大语言模型
- Transformers快速入门
- llms-from-scratch-cn
- llm-engineer-toolkit
- iml-en | iml-cn | Interpretable Machine Learning 可解释机器学习
- Explanatory Model Analysis | DALEX | 解释模型分析
- open-mmlab | open-source computer vision algorithm system
- hugging-face | The AI community building the future
- numpy-ml | machine learning models, algorithms, and tools
- 100-Days-Of-ML-Code
- cs230-code-examples | Code examples in pyTorch and Tensorflow
- Introduction to Causal Inference (Brady Neal)
- Causal Inference for The Brave and True | 中文版
- A First Course in Causal Inference (丁鹏 Peng Ding)
- Applied Causal Inference Powered by ML and AI | 主页 (Victor Chernozhukov)
- Microsoft支持 | word, ppt, visio等软件教程
- learnlatex | Learn LaTeX online
- Read-the-Docs | readthedocs-demo | 文档编排
- Jupyter-Book | 中文文档 | ExecutableBooksProject
- gitbook | 中文文档-1 | 中文文档-2
- 了不起的markdown | Cmd Markdown | tutorial-1 | tutorial-2
- 网站制作 | 样例 | 博客模板
- cookiecutter-data-science | flexible project structure
- reference-cn | reference-en | 速查表
- WritingAIPaper | Writing AI Conference Papers: A Handbook for Beginners
- academicpages | a ready-to-fork GitHub Pages template for academic personal websites
- AcadHomepage | A Modern and Responsive Academic Personal Homepage
- al-folio | A simple, clean, and responsive Jekyll theme for academics
- earthworm |
连词成句i+1以终为始 - everyone-can-use-english
