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
A structured list of resources about Sum-Product Networks (SPNs)
Implementation of DeepDB: Learn from Data, not from Queries!
A Python Library for Deep Probabilistic Modeling
Probabilistic programming system for fast and exact symbolic inference
An implementation of EinsumNetworks in PyTorch.
Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)
Sum-product networks in Julia.
Sum-Product Network learning routines in python
🔆 A Python implementation of a sum-product network with gaussian processes leafs model (SPNGP, arXiv:1809.04400) 📃
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.
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"
replication of this paper: https://www.nrl.navy.mil/itd/aic/content/evaluation-sum-product-networks-image-classification-tasks
Probabilistic Circuits in Julia
(Reproduction)Sum-product network implementation and its application to image completion.
Optimisation of Overparametrized Sum-Product Networks
Personal fork of the official EinsumNetworks implementation with a few enhancements.
Survey and presentation about Sum-Product Networks (SPNs)
Simple implementation (in Go) of algorithm to convert SPNs into BNs with ADDs.
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