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