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What is this?
A curated collection of one-page cheat sheets covering popular machine learning and deep learning tools such as TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Matplotlib, PySpark, Dask, and R's dplyr/tidyr, aimed at ML and DL researchers.
A curated collection of one-page cheat sheets covering popular machine learning and deep learning tools such as TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Matplotlib, PySpark, Dask, and R's dplyr/tidyr, aimed at ML and DL researchers.Is this a single document or a collection of separate cheat sheets?It is an index of many individual cheat sheets (linked PDFs/images) covering different libraries, plus one combined file with everything bundled together.
It is an index of many individual cheat sheets (linked PDFs/images) covering different libraries, plus one combined file with everything bundled together.How do I actually use these cheat sheets?There is nothing to install: just open the README and click the link for the topic you need, like Tensorflow, Keras, or Numpy, to view that one-page sheet, or grab the 'All Cheat Sheets' bundle for everything at once.
There is nothing to install: just open the README and click the link for the topic you need, like Tensorflow, Keras, or Numpy, to view that one-page sheet, or grab the 'All Cheat Sheets' bundle for everything at once.Are these cheat sheets kept up to date?The README gives no update schedule or versioning info, so the sheets should be treated as a static snapshot rather than something actively revised for new library versions.
The README gives no update schedule or versioning info, so the sheets should be treated as a static snapshot rather than something actively revised for new library versions.What is the 'All Cheat Sheets' link for?It is a single bundled PDF that contains every individual cheat sheet, useful if you want to download them all in one go instead of opening each link separately.
It is a single bundled PDF that contains every individual cheat sheet, useful if you want to download them all in one go instead of opening each link separately.Where did these cheat sheets originally come from?They accompany a Medium article by the repo's author on essential cheat sheets for machine learning and deep learning researchers, linked at the top of the README.
They accompany a Medium article by the repo's author on essential cheat sheets for machine learning and deep learning researchers, linked at the top of the README.Which sheets focus specifically on neural networks?Besides the Tensorflow and Keras sheets, there are dedicated sheets called 'Neural Networks Zoo', 'Neural Network Cells', 'Neural Network Graphs', and a general 'Deep Learning Cheat Sheet'.
Besides the Tensorflow and Keras sheets, there are dedicated sheets called 'Neural Networks Zoo', 'Neural Network Cells', 'Neural Network Graphs', and a general 'Deep Learning Cheat Sheet'.Is there anything for R users, not just Python?Yes, two sheets cover R Studio's dplyr and tidyr packages alongside the mostly Python/Spark-focused content, plus ggplot2 sheets.
Yes, two sheets cover R Studio's dplyr and tidyr packages alongside the mostly Python/Spark-focused content, plus ggplot2 sheets.What are similar projects?data-science-ipython-notebooks, 100-Days-Of-ML-Code, Ai-Learn, machine-learning-zoomcamp, handson-ml2, mlcourse.ai, tutorials, 100-Days-Of-ML-Code
data-science-ipython-notebooks, 100-Days-Of-ML-Code, Ai-Learn, machine-learning-zoomcamp, handson-ml2, mlcourse.ai, tutorials, 100-Days-Of-ML-CodeWhich topics is it in?scipy, cheat-sheet, matplotlib, spark, keras, scikit-learn, pandas, numpy, cheatsheet, tensorflow, neural-network, data-science
scipy, cheat-sheet, matplotlib, spark, keras, scikit-learn, pandas, numpy, cheatsheet, tensorflow, neural-network, data-science