The \(\texttt{deep\_tensor}\) package contains a PyTorch implementation of the deep inverse Rosenblatt transport (DIRT) algorithm introduced by Cui and Dolgov (2022).

Warning

This package is currently in a developmental state. Some parts of the API may change without warning in future releases.

Installation

\(\texttt{deep\_tensor}\) can be installed using pip:

pip install deep-tensor-py

The package can then be imported using

import deep_tensor as dt

Getting Started

Check out the examples page and API reference for help getting started with \(\texttt{deep\_tensor}\).

References

Cui, Tiangang, and Sergey Dolgov. 2022. “Deep Composition of Tensor-Trains Using Squared Inverse Rosenblatt Transports.” Foundations of Computational Mathematics 22 (6): 1863–1922. https://doi.org/10.1007/s10208-021-09537-5.