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

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

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-learns t-SNE, or UMAP-learn. Full code and documentation can be found here: ...