This is a list of useful cheat sheets for people working in fields such as machine learning, deep learning, computer and software engineering, and data science. Feel free to suggest more useful links.
- UML design : https://www.cheatography.com/cheatography/cheat-sheets/uml-quick-reference/
- Design patterns : http://viralpatel.net/blogs/download/design-pattern-scard.pdf
- Agile: http://cheatsheetworld.com/programming/agile-development-cheat-sheet/
- Git: http://files.zeroturnaround.com/pdf/zt_git_cheat_sheet.pdf
- JUnit (unit tests): http://files.zeroturnaround.com/pdf/zt_junit_cheat_sheet.pdf
- Markdown (for doc): https://guides.github.com/pdfs/markdown-cheatsheet-online.pdf
- NumPy : https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Numpy_Python_Cheat_Sheet.pdf
- SciPy : http://datacamp-community.s3.amazonaws.com/5710caa7-94d4-4248-be94-d23dea9e668f
- Matplotlib : http://datacamp-community.s3.amazonaws.com/28b8210c-60cc-4f13-b0b4-5b4f2ad4790b
- Pandas: http://datacamp-community.s3.amazonaws.com/9f0f2ae1-8bd8-4302-a67b-e17f3059d9e8
- Jupyter Notebooks (IPython): http://datacamp-community.s3.amazonaws.com/48093c40-5303-45f4-bbf9-0c96c0133c40
- Seaborn (visualization library for high quality graphics): http://datacamp-community.s3.amazonaws.com/f9f06e72-519a-4722-9912-b5de742dbac4
- PySpark: http://datacamp-community.s3.amazonaws.com/65076e3c-9df1-40d5-a0c2-36294d9a3ca9
- Scikit-learn: http://datacamp-community.s3.amazonaws.com/5433fa18-9f43-44cc-b228-74672efcd116
- Scikit-learn 2: https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
- Useful math for machine learning: https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf
- Neural Networks: https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
- Neural Network Graphs: https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
- TensorFlow: https://aicheatsheets.com/static/pdfs/tensorflow_v_2.0.pdf
- Keras: http://datacamp-community.s3.amazonaws.com/94fc681d-5422-40cb-a129-2218e9522f17
- PyTorch: https://www.sznajdman.com/wp-content/uploads/2018/02/pytorch-cheat.jpg
- The Deep Learning Book: https://www.deeplearningbook.org/
- Useful standard Linux commands: http://cheatsheetworld.com/programming/unix-linux-cheat-sheet/
- Bash Scripting: https://devhints.io/bash
- C++: http://web.pa.msu.edu/people/duxbury/courses/phy480/Cpp_refcard.pdf
- C++ (including main OOP notions): https://www.cs.ccu.edu.tw/~damon/oop/,c++refcard.pdf
- Java: https://introcs.cs.princeton.edu/java/11cheatsheet/
- Java (2): https://github.com/in28minutes/java-cheat-sheet
- Collection of various machine learning related cheat sheets from the CS-229 course (Stanford): https://github.com/afshinea/stanford-cs-229-machine-learning