🤖 AI-ML-Cheatsheets

A curated collection of quick-reference stanford guides covering core topics in Artificial Intelligence, Machine Learning and Deep Learning. These cheatsheets are designed to help students, developers, and researchers quickly recall important concepts and formulas.

📚 Topics Covered

All cheatsheets are organized folder-wise by topic and include concise explanations, diagrams, and essential equations.

• Artificial Intelligence
• Transformers and LLMs
• Deep Learning
• Machine Learning
• Probabilities and Statistics
• Algebra and Calculus

🚀 Getting Started

git clone https://github.com/analyticalrohit/AI-ML-Cheatsheets.git

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📄 Contributing

We welcome contributions from the community! If you have a cheetsheet or improvement to suggest:

1. Fork the repository
2. Create your feature branch: git checkout -b feature/CheatsheetTopic
3. Commit your changes: git commit -m 'Add some CheatsheetTopic'
4. Push to the branch: git push origin feature/CheatsheetTopic
5. Open a pull request

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