Back to List
Notice:This resource is provided by a third-party author. Please review the code with AI tools or manually before use to ensure security and compatibility.
analyticalrohit/AI-ML-Cheatsheets

AI-ML-Cheatsheets

All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.

55.2/100
902Forks: 183
View on GitHubHomepage →
Loading report...

Similar Projects

ai-learning-roadmaps

52

A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.

589

free-ai-resources-x

68

🌟 A curated collection of free, high quality AI tools 🤖, APIs 🔗, datasets 📊, and learning resources 📚 covering machine learning 🧠, deep learning 🧩, generative AI 🎨, NLP 💬, and data science 📈. Designed to help developers 👩‍💻, researchers 🔬, and creators ✨ explore and build with AI faster ⚡.

531

graph-fraud-detection-papers

62

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

1.8K

best-of-ml-python

90

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

23.6K
Back to List