Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
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Updated
Apr 22, 2024 - Python
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
Implementation of DeepDB: Learn from Data, not from Queries!
Probabilistic programming system for fast and exact symbolic inference
A Python Library for Deep Probabilistic Modeling
Sum-Product Network learning routines in python
🔆 A Python implementation of a sum-product network with gaussian processes leafs model (SPNGP, arXiv:1809.04400) 📃
PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
Sum-Product Networks (SPNs) for Robust Automatic Speaker Identification.
Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"
Personal fork of the official EinsumNetworks implementation with a few enhancements.
replication of this paper: https://www.nrl.navy.mil/itd/aic/content/evaluation-sum-product-networks-image-classification-tasks
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