normalizing-flows topic

Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399

kingofspace0wzz

Discrete Normalizing Flows implemented in PyTorch

TrentBrick

A Julia framework for invertible neural networks

slimgroup

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

AWehenkel

Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

jmtomczak

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

L0SG

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

shchur

Reinforcement learning algorithms in RLlib

0xangelo

Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020

fissoreg

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

gebob19