Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
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Updated
Sep 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!
Probabilistic programming system for fast and exact symbolic inference
A Python Library for Deep Probabilistic Modeling
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.
Probabilistic Circuits in Julia
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
(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)
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings
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