Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399

Code for Graph Normalizing Flows.

Generative Flow based Sequence-to-Sequence Toolkit written in Python.

Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

Manifold-learning flows (ℳ-flows)

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Code for Neural Spline Flows paper

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)