normalizing-flow
PyTorch implementation of normalizing flow models
Sliced Iterative Normalizing Flow with Minimal Dependencies
Modern normalizing flows in Python. Simple to use and easily extensible.
(Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.
Reduce a large and high-dimensional dataset by downselecting data uniformly in phase space
