Creating Simple Data Visualizations as an Act of Kindness

[unable to retrieve full-text content]The field of data visualization is still quite young and evolving rapidly—and tools like the web and VR are continuing to expand the possibilities. So there is a lot of room for exploring new possibilities and creating new formats, as well as many examples of novel and amazing visualizations.
Original Post: Creating Simple Data Visualizations as an Act of Kindness

Interactive visualizations of sampling and GP regression

Interactive visualizations of sampling and GP regression You really don’t want to miss Chi Feng‘s absolutely wonderful interactive demos. (1) Markov chain Monte Carlo sampling I believe this is exactly what Andrew was asking for a few Stan meetings ago: This tool lets you explore a range of sampling algorithms including random-walk Metropolis, Hamiltonian Monte Carlo, and NUTS operating over a range of two-dimensional distributions (standard normal, banana, donut, multimodal, and one squiggly one). You can control both the settings of the algorithms and the settings of the visualizations. As you run it, it even collects the draws into a sample which it summarizes as marginal histograms. Source code The demo is implemented in Javascript with the source code on Chi Feng’s GitHub organization: Wish list 3D (glasses or virtual reality headset) multiple chains in parallel scatterplot breadcrumbs Gibbs sampler…
Original Post: Interactive visualizations of sampling and GP regression

Visualizing Convolutional Neural Networks with Open-source Picasso

[unable to retrieve full-text content]Toolkits for standard neural network visualizations exist, along with tools for monitoring the training process, but are often tied to the deep learning framework. Could a general, easy-to-setup tool for generating standard visualizations provide a sanity check on the learning process?
Original Post: Visualizing Convolutional Neural Networks with Open-source Picasso