Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
This repository provides a hands-on tensorflow
implementation of Normalizing Flows as presented in the paper
introducing the concept (D. Rezende & S. Mohamed). This code was developed as part of a Special Course at DTU (Denmarks Tekniske Universitet), supervised
by Michael Riis Andersen. The final report of the course, that details all experiments run with this repository can directly be accessed at https://pierresegonne.github.io/VINF/
This repository provides an implementation of
True posterior
Samples generated from the trained variational approximation