deepscatter
RasterFairy
| deepscatter | RasterFairy | |
|---|---|---|
| 4 | 2 | |
| 982 | 278 | |
| 2.6% | - | |
| 7.7 | 2.0 | |
| 14 days ago | 10 months ago | |
| TypeScript | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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deepscatter
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A Visual Book Recommender
similiar t-SNE visualisation just for papers:
https://static.nomic.ai/pubmed.html
using Nomic Ai deepscatter
https://github.com/nomic-ai/deepscatter
- Zoomable, animated scatterplots in the browser that scales over a billion points
- DeepScatter – render billions of points in the browser
RasterFairy
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A Visual Book Recommender
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.
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We Analyzed 425,909 Favicons
You can use t-SNE (or even better: UMAP or one of its variation) to create a 2D points cloud, and then use something like RasterFairy [1] to map 2D positions to the cells a grid. It usually works well.
[1] https://github.com/Quasimondo/RasterFairy
What are some alternatives?
pix-image-viewer - Desktop image viewer. View thousands of images in a zoomable, pannable grid.
stellar-core-go - This project is an implementation of the Stellar-Core Protocol (SCP) in Go.
nodevectors - Fastest network node embeddings in the west
umap - Uniform Manifold Approximation and Projection
nanocube
author-graph
galapix
grape - 🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
gpt4all - gpt4all: run open-source LLMs anywhere
grafar - Reactive multidimensional math & data visualization for the web.