Awesome resources on normalizing flows.

Normalizing flows in PyTorch

PyTorch implementation of normalizing flow models

PyTorch implementations of algorithms for density estimation

Normalizing flows in PyTorch

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

Manifold-learning flows (ℳ-flows)

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Code for reproducing Flow ++ experiments

Pytorch implementation of Block Neural Autoregressive Flow

Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

Code for reproducing results in the sliced score matching paper (UAI 2019)

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

Estimators for the entropy and other information theoretic quantities of continuous distributions

Probabilistic Learning for mlr3

Likelihood-free AMortized Posterior Estimation with PyTorch

Distance-based Analysis of DAta-manifolds in python

Discrete Normalizing Flows implemented in PyTorch

Neural Relation Understanding: neural cardinality estimators for tabular data

Regularized Neural ODEs (RNODE)