TUM Summer Term 2022
Machine Learning for Graphs and Sequential Data
Project 1 - Normalizing Flows Implementation of Affine and Radial Flow.
Maximum Likelihood Training on:
- (1) 1 shifted (non-zero mean) Gaussian data,
- (2) 3 Gaussians with mean on a circle,
- (3) half-moon data.
p.s. The content is only for demonstration purposes since the data / some utility scripts are not included in the repo.