#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
- 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.
The mailing list
embedologist-devel is for
development discussion and patches related to this project. For help sending
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