Library for experimentation with manifold learning methods

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#Library for experimentation with manifold learning methods

#Juan M. Bello-Rivas


Embedologist is a collection of routines for experimenting with manifold learning methods. It aims to be fast by relying on GPU backends (currently CuPy and JAX). This library is the successor of the diffusion-maps module.


  • Dimensionality reduction via diffusion maps. Diffusion maps are differentiable: both with respect to the data set and with respect to out of distribution points.
  • Differentiable Gaussian process regression using GPU backends.


Follow the steps in INSTALL.md.


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