analyticalrohit / AI-ML-Cheatsheets
All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.
Why this job: works in the areas we cover, but does not say which job it does
What it does
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.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 1,016
- +3 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
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- Contributors
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- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 9 merged
- 0 waiting
- Releases
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- Never published
- No contributing guide
- No security policy
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More: topics and project record
Topics
- artificial-intelligence
- cheetsheet
- convolutional-neural-networks
- data-science
- deep-learning
- llms
- machine-learning
- neural-networks
- probability
- statistics
- transformers
Project record
- JobOther AI tools
- StatusListed
- Commits14
- Forks191
- Watching16
- Stars in 28 days+7
- CreatedMay 13, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026