AI-Notes and AI-Practices
These are **complements** — the former provides theoretical foundations (mathematics, statistics, NLP theory) while the latter offers hands-on implementations (linear regression, CNN, RNN tutorials), making them suitable for sequential learning from theory to practice.
Maintenance
16/25
Adoption
10/25
Maturity
9/25
Community
25/25
Maintenance
13/25
Adoption
10/25
Maturity
9/25
Community
20/25
Stars: 774
Forks: 241
Downloads: —
Commits (30d): 2
Language: Jupyter Notebook
License: —
Stars: 386
Forks: 62
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package
No Dependents
No Package
No Dependents
About AI-Notes
wx-chevalier/AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
About AI-Practices
zimingttkx/AI-Practices
🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程
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