Repository: kailashahirwar/cheatsheets-ai
Branch: master
Commit: 8be2a53d7841
Files: 4
Total size: 5.3 KB
Directory structure:
gitextract_cfcjkamm/
├── .gitignore
├── LICENSE.md
├── README.md
└── _config.yml
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FILE CONTENTS
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FILE: .gitignore
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.idea
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FILE: LICENSE.md
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MIT License
Copyright (c) 2017 Kailash Ahirwar
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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FILE: README.md
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# AI Cheatsheets
Essential Cheat Sheets for deep learning and machine learning engineers
Website: https://aicheatsheets.com
<p align="center">
<img width="50%" height="auto" src="Triplebyte_logo.png">
</p>
<p align="center">
Looking for a new job? Take Triplebyte’s <a href="https://triplebyte.com/a/ZYAvvEc/d">quiz</a> and get a job at top companies like Adobe, Dropbox and Instacart!
</p>
Medium Article: https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Reddit Thread: https://www.reddit.com/r/Python/comments/cyslju/ai_cheatsheets_now_learn_tensorflow_keras_pytorch/?utm_source=share&utm_medium=web2x
- [**Tensorflow**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf)<br>
- [**Keras**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Keras.jpg)<br>
- [**Neural Networks Zoo**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Neural%20Networks%20Zoo.png)<br>
- [**Numpy**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Numpy.png)<br>
- [**Scipy**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Scipy.png)<br>
- [**Pandas-1**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Pandas-1.jpg)<br>
- [**Pandas-2**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Pandas-2.jpg)<br>
- [**Pandas-3**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Pandas-3.png)<br>
- [**Scikit-learn**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Scikit%20Learn.png)<br>
- [**Matplotlib**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Matplotlib.png)<br>
- [**Seaborn**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/seaborn.png)<br>
- [**ggplot2-1**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/ggplot2-1.jpg)<br>
- [**ggplot2-2**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/ggplot2-2.jpg)<br>
- [**PySpark**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PySpark.jpg)<br>
- [**PySpark-RDD**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PySpark-RDD.png)<br>
- [**PySpark-SQL**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PySpark-SQL.png)<br>
- [**R Studio(dplyr & tidyr)-1**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Data%20Wrangling%20with%20dplyr%20and%20tidyr%20-%20R%20Studio-1.jpg)<br>
- [**R Studio(dplyr & tidyr)-2**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Data%20Wrangling%20with%20dplyr%20and%20tidyr%20-%20R%20Studio-2.jpg)<br>
- [**Neural Network Cells**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Neural%20Network%20Cells.png)<br>
- [**Neural Network Graphs**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Neural%20Network%20Graphs.png)<br>
- [**Deep Learning Cheat Sheet**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Deep%20Learning%20Cheat%20Sheet-Hacker%20Noon.pdf)<br>
- [**Dask1**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Dask1.png)
- [**Dask2**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Dask2.png)
- [**Dask3**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Dask3.png)
- [**Dask4**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/Dask4.png)
- [**All Cheat Sheets(PDF)**](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/All%20Cheat%20Sheets.pdf)<br>
[**Medium Article**](https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5)
License
-----------------
[MIT License](https://github.com/kailashahirwar/cheatsheets-ai/blob/master/LICENSE.md)
[AI Cheatsheets](https://aicheatsheets.com)
================================================
FILE: _config.yml
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theme: jekyll-theme-cayman
gitextract_cfcjkamm/ ├── .gitignore ├── LICENSE.md ├── README.md └── _config.yml
Condensed preview — 4 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (6K chars).
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About this extraction
This page contains the full source code of the kailashahirwar/cheatsheets-ai GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 4 files (5.3 KB), approximately 1.7k tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.