Pytorch implementation of Hyperspherical Variational Auto-Encoders
Clustering routines for the unit sphere
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
Kernel density estimation on a sphere
This is the repository for the research project about the Generalized Procrustes Analysis using spatial anatomical information in fMRI data, i.e., the ProMises (Procrustes von Mises-Fisher) model
Spherical statistics in Python
Fit and manipulate a few probability distribution functions on the unit S2 sphere.
spherical clustering, von-Mises Fisher mixture model
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