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AI-ML-Cheatsheets
All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.
#artificial-intelligence#cheetsheet#convolutional-neural-networks#data-science#deep-learning#llms
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🤖 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
📬 Newsletter
📄 Contributing
We welcome contributions from the community! If you have a cheetsheet or improvement to suggest:
- Fork the repository
- Create your feature branch:
git checkout -b feature/CheatsheetTopic - Commit your changes:
git commit -m 'Add some CheatsheetTopic' - Push to the branch:
git push origin feature/CheatsheetTopic - Open a pull request
⭐️ If you find this repository helpful, please consider giving it a star!