Top 18 normalizing-flows open source projects

nessai: Nested Sampling with Artificial Intelligence

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.

We got a stew going!

Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning

Implementations of normalizing flows using python and tensorflow

Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'

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

Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770

Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

PyTorch implementation of NVIDIA WaveGlow with constant memory cost.

A Julia framework for invertible neural networks

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Continuous-time gradient flow for generative modeling and variational inference

A Python Library for Deep Probabilistic Modeling

PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)

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

Separating Normalizing Flows code from Pyro and improving API