LINFA

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

Awesome resources on normalizing flows.

Normalizing flows in PyTorch

An extension of XGBoost to probabilistic modelling

Normalizing flows in PyTorch

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

An extension of LightGBM to probabilistic modelling

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Network-to-Network Translation with Conditional Invertible Neural Networks

Code for reproducing Flow ++ experiments