Poisson potential

DruidJS

Hello nd4js

Hello lalolib

pt - pretty-print matrices & tensors

Convex Spectral Weights

Hello matrix-eig, hello emlapack

Hello ml-matrix

The 2D approximate Newton-Raphson method

Hello Cuthill-McKee

Hello qr-Solve

Hello Cholesky-Solve

Linear Algebra

Tools

Algorithms

Hello

this benchmark view is a great viz by itself  https://renecutura.eu/druid_demo/! I'm curious to know about performance comparison of https://github.com/PAIR-code/umap-js vs DruidJS implementation

Radamés Ajna

Hey :) we did a comparison. You can find the comparison here in Figure 7: https://renecutura.eu/pdfs/Druid_Supp.pdf

Rene Cutura

Hi @saehrimnir thanks for the supp material! am I reading it correctly but the js implementations are performing better than sklearn for small samples? that's cool!

Here's how you can call the druid from a worker: https://observablehq.com/@fil/druidjs-worker. In this case DruidJS is not even loaded in the notebook, only in the worker.