Popular GitHub Repositories for Normalizing Flow

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Regularized Neural ODEs (RNODE)

Distributional Gradient Boosting Machines

A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator

Modern normalizing flows in Python. Simple to use and easily extensible.

In this repo, I developed a step-by-step pipeline for a standard MultiSpeaker Text-to-Speech system :smile: In general, I used Portaspeech as an acoustic model and iSTFTNet as vocoder...

TensorFlow implementation of "Variational Inference with Normalizing Flows"

Code for the paper "Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations" (ICML 2024)

Implementing Real-NVP from Scratch in Pytorch

Tensorflow implementation of SurVAE Flows, Nielsen et al., 2020.

Unofficial Pytorch Lightning implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015]

A BNAF implementation in Flax