A Visual Book Recommender

• RasterFairy

  2 278 2.0 Python

  The purpose of Raster Fairy is to transform any kind of 2D point cloud into a regular raster whilst trying to preserve the neighborhood relations that were present in the original cloud. A typical use case is if you have a similarity clustering of images and want to show the images in a regular table structure.

For post-t-SNE processing to get non-overlapping items, see also: https://github.com/Quasimondo/RasterFairy

I also used more crude algorithms that sort by X, group elements in buckets, and within each, sort by Y. Then we get a grid of elements. The result is less high-quality than with iterative algorithms (and depends on if we sort by X or Y first), but it is hard to beat its simplicity.

• author-graph

  1 0 10.0 JavaScript

Kind of hacky but I built something similar to apply the page rank algorithm to the authors referenced between books of various topics, here's the result for science:

https://camjohnson26.github.io/author-graph/science/

https://github.com/CamJohnson26/author-graph

Clearly needs a lot of data clean up but still was very helpful for discovering important scientists and their approximate relative impact

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• deepscatter

  4 978 7.7 TypeScript

  Zoomable, animated scatterplots in the browser that scales over a billion points

  

similiar t-SNE visualisation just for papers:

https://static.nomic.ai/pubmed.html

using Nomic Ai deepscatter

https://github.com/nomic-ai/deepscatter

Suggest a related project