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

Manifold-learning flows (ℳ-flows)

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

[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)