deep-tensor-py
This package contains a PyTorch implementation of the deep inverse Rosenblatt transport (DIRT) algorithm introduced by Cui and Dolgov [1].
Installation
To install the package, use pip:
pip install deep-tensor-py
The package can then be imported using
import deep_tensor as dt
Examples and Documentation
Examples and documentation are available on the package website.
References
[1] Cui, T and Dolgov, S (2022). Deep composition of tensor-trains using squared inverse Rosenblatt transports. Foundations of Computational Mathematics 22, 1863–1922.
1 maintainer
Metadata
1 maintainer
Release files for deep-tensor-py 1.2.0
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Total release size: 200.7 kB
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