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GitHub repo of the PL library, to train via pseudo-likelihood and study various dense and sparse architectures.

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Francill99/PL

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Library to train, evaluate and study pseudo-likelihood (or cross-entropy) training on two-bodies or linear models

Citation

If you use this library for a publication, we would kindly ask you to cite our reference paper

arXiv

Installable via PyPi

To install

pip install pl-training

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GitHub repo of the PL library, to train via pseudo-likelihood and study various dense and sparse architectures.

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