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Repository Details
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.
