# analyticalrohit/AI-ML-Cheatsheets

<https://repo.masters-masters.com/en/repos/analyticalrohit/AI-ML-Cheatsheets>

[Home](https://repo.masters-masters.com/en) › [analyticalrohit](https://repo.masters-masters.com/en/owners/analyticalrohit) › [AI-ML-Cheatsheets](https://repo.masters-masters.com/en/repos/analyticalrohit/AI-ML-Cheatsheets)

analyticalrohit/AI-ML-Cheatsheets has 1,011 stars on GitHub. Its RepoMasters card: Beta tier. All Stanford Cheatsheets: Artificial Intelligence, Transformers…

| Field | Value |
| --- | --- |
| Owner | [analyticalrohit](https://repo.masters-masters.com/en/owners/analyticalrohit) |
| Stars | 1,011 |
| Forks | 189 |
| Language | No language |
| License | MIT |
| Created | 2025 |
| Topics | artificial-intelligence, cheetsheet, convolutional-neural-networks, data-science, deep-learning, llms, machine-learning, neural-networks, probability, statistics |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [analyticalrohit/AI-ML-Cheatsheets](https://github.com/analyticalrohit/AI-ML-Cheatsheets) |

## Repository

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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## More repos by analyticalrohit

- [analyticalrohit/pytorch\_fundamentals · ★ 1,056 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/analyticalrohit/pytorch_fundamentals)
- [analyticalrohit/awesome-vibe-coding-guide · ★ 387 · Alpha](https://repo.masters-masters.com/en/repos/analyticalrohit/awesome-vibe-coding-guide)
- [analyticalrohit/llms-from-scratch · ★ 386 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/analyticalrohit/llms-from-scratch)

---
Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.