
Trying to decide how to show the selected points. This is a little harsh.

This is great and it's going to take me a while to finish. It shows how a thoughtful interface and framing can change how a process feels (compare this to going through your following list in the normal Twitter interface).

I got the MNIST images rendering in the active learning prototype. White here are the images selected for labeling for the next round.

Rasmus Andersson's favorite technical papers.
From: https://www.dropbox.com/sh/is0sy5350lr4v9j/AADQlhVSQcRw6vCNKQgGWelqa

First pass of active learning rounds on MNIST in the prototype. I need to think through what the transitions should be more, but this looks promising.

Oooo I bet there are some interesting things to be done with context.isPointinPath().
From: https://beta.observablehq.com/@mbostock/pixelated-world

I didn't think this all the way through and ran UMAP on each of these groups separately instead of at the same time.

I added T-SNE and UMAP with min_dist=0.8 algorithm options to the UMAP explorer. Three.js & tween.js animating the transition of 70,000 points no problem.