Midsommer" or a way to create self-organizing maps in JavaScript
I've been obsessed with self-organizing maps (or Kohonen maps) for a few years now, and I made a library that implements a bare-bones SOM algorithm in JavaScript. A SOM is basically a kinda-old school—but effective—way to do dimensionality reduction and clustering. Midsommer, my library, also comes with a Svelte component to visualize the resulting SOM, and it uses a force-directed graph to display the underlying shape of the map (cosine similarity between adjacent neurons informs the edge weights, basically). You can see the code here, as well as a couple examples, including one that…
What it does
In the maker’s words, at launch
I've been obsessed with self-organizing maps (or Kohonen maps) for a few years now, and I made a library that implements a bare-bones SOM algorithm in JavaScript. A SOM is basically a kinda-old school—but effective—way to do dimensionality reduction and clustering. Midsommer, my library, also comes with a Svelte component to visualize the resulting SOM, and it uses a force-directed graph to display the underlying shape of the map (cosine similarity between adjacent neurons informs the edge weights, basically). You can see the code here, as well as a couple examples, including one that represents the ~300-odd books I've read since the start of the pandemic. I'm really curious what people think.
Does the same job
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When I read papers, I have to jump between multiple tabs to find the dataset, code, videos, peer reviews, and so on. I tried to fix this with this project. It started as a project just for papers on arXiv, but after its initial success on Twitter (got like 1.9k views: the most I have gotten for a post), I have now expanded it to include other openly available papers from PubMed Central, bioRxiv, medRxiv, and eLife. These papers have been linked with their genes, proteins, diseases, drugs, clinical trials, 3D protein structures, code, and cited and similar papers. This project now has four…
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