Picasso: A free open-source visualizer for Convolutional Neural Networks:

https://medium.com/merantix/picasso-a-free-open-source-visualizer-for-cnns-d8ed3a35cfc5

#vizualization #deeplearning

Notes on effectively Using Matplotlib:

http://pbpython.com/effective-matplotlib.html

#python #vizualization

​​Interpolations between a pomeranian and a pomegranate.

#GAN #vizualization

​​Are Pop Lyrics Getting More Repetitive?

Well-written article on pop music analysis. Is the repetitiveness in songs rising? Does it influence song popularity?

Article contains well-designed and illustrated research.

Link: https://pudding.cool/2017/05/song-repetition/

#popularDS #researh #statistics #vizualization

​​Visualizing the Loss Landscape of Neural Nets

Github: https://github.com/tomgoldstein/loss-landscape

#NN #loss #vizualization #DL

​​#vizualization #statistics

Panel: A high-level app and dashboarding solution for the PyData ecosystem.

New framework for handling python dashboards.

Link: https://medium.com/@philipp.jfr/panel-announcement-2107c2b15f52

#vizualization #panel #metrics #dashboard #python

​​🔥New Seaborn vizaulization library release

- completely new and improved distributions module, with a modern API and many new features, like these histograms and kernel density plots
- support for empirical distribution plots, a better way to compare multiple distributions
- better overall handling of categorical, datetime, and log-scaled data
- new perceptually-uniform colormaps that are optimized for use in scatter or line plots
- an API update that requires keyword arguments in most places, laying the groundwork for smoother integration of planned future enhancements

Medium post: https://medium.com/@michaelwaskom/announcing-the-release-of-seaborn-0-11-3df0341af042
Whats new: https://seaborn.pydata.org/whatsnew.html

#vizualization #seaborn