
Several years ago @Ahkailash1 posted an article on Medium about collecting artificial intelligence cheatsheets in one place. These ‘cheatsheets’ are easy to use bite-sized reference materials that are great if you’re learning a new language or library and are common conference swag. Having all of the cheatsheets in one place makes it easy to find the resources when you need them:
…I am creating a repository on Github(cheatsheets-ai) containing cheatsheets for different machine learning frameworks, gathered from different sources. Do visit the Github repository, also, contribute cheat sheets if you have any. Thanks.
List of Cheatsheets:
1. Keras
2. Numpy
3. Pandas
4. Scipy
5. Matplotlib
6. Scikit-learn
7. Neural Networks Zoo
8. ggplot2
9. PySpark
10. R Studio
11. Jupyter Notebook
12. Dask
Recently, AI Cheatsheets started building out interactive shells/python consoles for running machine learning code. The website currently has a slideshow intro for TensorFlow up and running with a link to Google’s Colab introduction (similar to a JuPyter notebooks) where you can try out some TensorFlow code. It looks like there will be more for Keras and Pytorch coming soon:
We are working an Interactive Shell/Python Console to write and execute the machine learning/deep learning code.
If you would like to learn more or contribute to the project check out the AI Cheatsheets GitHub repo.