CompressionVAE — A Powerful and Versatile Alternative to t-SNE and UMAP

Introducing a fast, easy to use, deep learning based dimensionality reduction tool

Max Frenzel, PhD
Towards Data Science
11 min readMar 2, 2020

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Stylized visualization of MNIST embeddings using CompressionVAE, created by Robin Jungers, programmer at Qosmo.

[tl;dr: CompressionVAE is a dimensionality reduction tool based on the idea of Variational Autoencoders. It can be installed via pip install cvae and used very similarly to scikit-learn’s t-SNE, or…

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AI Researcher, Writer, Digital Creative. Passionate about helping you build your rest ethic. Author of the international bestseller Time Off. www.maxfrenzel.com