Sum-Product Network learning routines in python

Safe Semi-Supervised Learning of Sum-Product Networks

Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"

Simple implementation (in Go) of algorithm to convert SPNs into BNs with ADDs.

GoDrive is an application of autonomous driving through image classification using sum-product networks.

replication of this paper: https://www.nrl.navy.mil/itd/aic/content/evaluation-sum-product-networks-image-classification-tasks

(Reproduction)Sum-product network implementation and its application to image completion.

DeepNotebooks is an automated statistical analysis tool build on top of SPNs. They are currently being developed by Claas Völcker at the ML group at TU Darmstadt.

Optimisation of Overparametrized Sum-Product Networks

Barebone slides introducing sum-product networks.

Sum-Product Networks (SPNs) for Robust Automatic Speaker Identification.

Tractable Machine Learning in Cosmological Structure Formation.

A structured list of resources about Sum-Product Networks (SPNs)

Personal fork of the official EinsumNetworks implementation with a few enhancements.

The first Scala-based library for Sum-Product Networks

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

Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)

Survey and presentation about Sum-Product Networks (SPNs)

Implementation of DeepDB: Learn from Data, not from Queries!