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juliasilge.com
| | www.sharpsightlabs.com
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| | This tutorial is part 4 of our covid-19 data analysis using R. For more data science tutorials, sign up for our email list.
| | zevross.com
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| | One of the most powerful aspects of the R plotting package ggplot2 is the ease with which you can create multi-panel plots. With a single function you can split a single plot into many related plot...
| | statsandr.com
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| | Learn how to create professional graphics and plots in R (histogram, barplot, boxplot, scatter plot, line plot, density plot, etc.) with the ggplot2 package
| | vxlabs.com
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| I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.