kailashahirwar/cheatsheets-ai

Project overview

This project consolidates quick-reference materials for a wide variety of ML/DL tools into a single repository, removing the friction of searching for scattered documentation and making day-to-day work faster for engineers.

Use cases

Learning & Education

Deployment

Refer to project documentation

License

MIT

Best for

• ML/DL engineers and researchers who want quick access to reference cheat sheets for common tools and frameworks.
• Learners looking for compact, curated summaries of deep learning and data-processing libraries.

Key capabilities

• A PDF cheat sheet for TensorFlow.
• An image cheat sheet for Keras.
• Image cheat sheets covering Pandas operations.
• An image cheat sheet for NumPy.
• A PDF cheat sheet for deep learning concepts.

Limitations and risks

• The project provides static documents and images rather than interactive software, so users should not expect executable tools or live API integrations.

Getting started

• Setup is easy because no installation is needed—the PDF and image files can be downloaded directly from the repository.

Evidence and sources

• README: Essential Cheat Sheets for deep learning and machine learning engineers
• GitHub project description: Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-research…
• README: Website: https://aicheatsheets.com

Reviewed at: 2026-07-17T14:12:56Z