Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
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Updated
May 21, 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
Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)
An implementation of EinsumNetworks in PyTorch.
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.
Survey and presentation about Sum-Product Networks (SPNs)
Optimisation of Overparametrized Sum-Product Networks
Personal fork of the official EinsumNetworks implementation with a few enhancements.
Tractable Machine Learning in Cosmological Structure Formation.
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