normalizing-flows

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Awesome resources on normalizing flows.

Normalizing flows in PyTorch

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

DGMs for NLP. A roadmap.

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

Manifold-learning flows (ℳ-flows)

Network-to-Network Translation with Conditional Invertible Neural Networks

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

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

Code for reproducing Flow ++ experiments

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

Pytorch implementation of Block Neural Autoregressive Flow

Understanding normalizing flows

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

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

A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)

Normalizing flows in PyTorch