/TensorizingFlow

PyTorch and MATLAB implementations of tensorizing-flow for variational inference, focusing on (1) high-dimensional sample generation using tensor-network representation of probability densities. (2) ResNet normalizing flow implementation with sketched tensor-networks as ansatz probability density.

Primary LanguageJupyter Notebook

This repository is not active