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Published November 17, 2025 | Version v1.0.3
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NeuPI: A Library for Neural Probabilistic Inference

Description

NeuPI is a PyTorch-based library for solving inference tasks in Probabilistic Models using neural network surrogates. It provides a modular framework for training neural models in a self-supervised fashion, where the Probabilistic Model itself provides the supervisory signal.

Notes

If you use this software, please cite it as below.

Files

Shivvrat/NeuPI-v1.0.3.zip

Files (1.1 MB)

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Additional details

Related works

Is supplement to
Software: https://github.com/Shivvrat/NeuPI/tree/v1.0.3 (URL)

Software