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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Cheatsheets for AI and Machine Learning
| Date | Stars |
|---|---|
| 2026-07-31 | 688 |
| 2026-08-02 | 688 |
| 2026-08-06 | 689 |
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# AI-ML-cheatsheets This GitHub repository gathers the most popular cheatsheets and quick reference guides for Artificial Intelligence (AI) and Machine learning (ML).  # Google Drive For an ease of download and browse over the files, a Google Drive version of this GitHub repository is available [here](https://drive.google.com/drive/folders/1yReFa2Af9icmdEaAYOUocepkQk_gGJJK?usp=sharing). <div style="text-align: center;"> <img src="https://github.com/SamBelkacem/AI-ML-cheatsheets/blob/main/Google%20Drive.png" width="380" hspace="1"/> <img src="https://github.com/SamBelkacem/AI-ML-cheatsheets/blob/main/Mathematics.png" width="380"/> </div> # AI-ML-roadmap The global structure of this GitHub repository follows to some extent the following AI and Machine Learning roadmap.  ## The structure of the folder - 01- [**Mathematics**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/01-%20Mathematics)<br> - 02- [**C++**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/02-%20C%2B%2B)<br> - 03- [**Python**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/03-%20Python)<br> - 04- [**Computer architecture**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/04-%20Computer%20architecture)<br> - 05- [**Data structures**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/05-%20Data%20structures)<br> - 06- [**Automata theory**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/06-%20Automata%20theory)<br> - 06- [**Complexity theory**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/06-%20Complexity%20theory)<br> - 07- [**SQL**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/07-%20SQL)<br> - 08- [**Data cleaning**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/08-%20Data%20cleaning)<br> - 09- [**Data visualization**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/09-%20Data%20visualization)<br> - 10- [**Mathematical logic**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/10-%20Mathematical%20logic)<br> - 11- [**Introduction to AI**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/11-%20Introduction%20to%20AI)<br> - 12- [**Machine learning**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/12-%20Machine%20learning)<br> - 13- [**Deep learning**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/13-%20Deep%20learning)<br> - 14- [**Metrics to evaluate ML algorithms**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/14-%20Metrics%20to%20evaluate%20machine%20learning%20algorithms)<br> - 15- [**Reinforcement learning**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/15-%20Reinforcement%20learning)<br> - 16- [**Time series**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/16-%20Time%20series)<br> - 17- [**Git**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/17-%20Git)<br> ## The content of the folder - 01- [**Mathematics**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/01-%20Mathematics)<br> - Calculus cheat sheet all reduced - Calculus cheat sheet - Linear Algebra in 4 pages - Probability cheat sheet - Probability distribution cheat sheet - Statistics cheat sheet - Super-cheatsheet-mathematics - Summary statistics - 02- [**C++**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/02-%20C%2B%2B)<br> - C++ Reference Card - C++ Libraries - C++ OOP Reference Card - 03- [**Python**](https://github.com/SamBelkacem/AI-ML-cheatsheets/tree/main/03-%20Python)<br> - Python for Beginners - Python Reference Cheatsheet - Python cheatsheet - Python for Data Science cheatsheet - Numpy cheatsheet - Pandas cheatsheet 1 - Pandas cheatsheet 2 - Matplotlib cheatsheet 1 - Matplotlib cheatsheet 2 - Scikit-Learn cheats
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matched fp:3a7498c31083403a, llm:Repository description and README: 'Cheatsheets for AI and Machine Learning', topics: artificial-intelligence, cheatsheet, computer-science, machine-learning; README lists collections of mathematics, Python, C++, data structures, etc., as AI/ML cheatsheets and roadmap.