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A structured list of resources about Sum-Product Networks (SPNs)
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Jul 30, 2020
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spn
Here are 19 public repositories matching this topic...
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
machine-learning
deep-learning
spn
graphical-models
mixture-model
tensorflow-models
sum-product-networks
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Jul 10, 2020 - Python
Sum-Product Network learning routines in python
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Jun 10, 2015 - Python
Library for learning and inference with Sum-product Networks
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Feb 20, 2020 - Python
Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"
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Dec 1, 2017 - Python
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.
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Sep 15, 2019 - Jupyter Notebook
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Jan 14, 2020 - C++
Substitution Permutation Network exercise for the Cryptography and Security module (krysi) at the FHNW.
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Mar 20, 2017 - Java
An implementation of a substitution-permutation-network and a randomized counter CTR
java
cryptography
maven
spn
ctr
substitution-cipher
substitution-permutation-network
randomized-counter
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Sep 21, 2019 - Java
GoDrive is an application of autonomous driving through image classification using sum-product networks.
spn
image-classification
autonomous-driving
mobile-robots
probabilistic-graphical-models
sum-product-networks
gospn
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Mar 11, 2019 - Go
Simple implementation (in Go) of algorithm to convert SPNs into BNs with ADDs.
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Dec 11, 2018 - Go
Experiments and research of Sum Product Networks (SPFlow and RAT-SPN) and Restricted Boltzmann Machines
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Sep 13, 2019 - Jupyter Notebook
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OPTICS (Ordering Points To Identify the Clustering Structure) is a clustering algorithm similar to DBSCAN. DBSCAN's major weakness is density tuning. OPTICS attempts to address this issue by ordering points and choosing the best epsilon.
We currently have an incomplete OPTICS implementation at [utils/clust