antonio vergari

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

iSoul. A branch of the old iSoul project, a soulseek client for Mac OS X.

probabilistic-circuits. A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.

spyn. Sum-Product Network learning routines in python

DEBD. A collection of commonly used datasets as benchmarks for density estimation in MaLe

adv-prob-mod-24. Mini site for the "Advanced probabilistic modeling: from generative to neuro-symbolic AI" course for PhD students at the Unvesity of Trento 23/24

SFCM. Spatial Fuzzy C-Means in ImageJ. A variant of the Fuzzy C-Means algorithm for color image segmentation that uses the spatial information computed in the neighborhood of each pixel

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

spyn-repr. Code for representation learning experiments with Sum-Product Networks

spinaceto-beamer-theme. Spinaceto is a minimalistic beamer theme with a typographic accent

icse-1516. Course material for Knowlege Engineering and Expert Systems 2015-16

pam. A simple implementation of PAM for K-Medoids in python using numba and theano

phd-trento-nesy-26. Material for the PhD course "Efficient and Reliable Neuro-Symbolic AI' at the University of Trento 2026

enzitetobeamertheme. enziteto a minimalistic beamer them with a typographic accent

allen-ai-science-qa. Code for the 5th place solution by team "A Pure Logical Approach" for the Allen AI Science QA Kaggle Challenge

referomnia. TeX

aaai19-abda-presgari. Latex sources for the slides for "Automatic Bayesian Density Analisys" accepted as oral at AAAI 2019

icse-1415. Course material for Knowledge Engineering and Expert Systems (Ingegneria della Conoscenza e Sistemi Esperti) a.a. 2014-2015

pylibra. A python wrapper around the Libra Toolkit

ecml16_postgari. beamer source code for ECML-PKDD 2016 Doctoral Consortium poster

INMF. an attempt to bring incrementality to NMF

ecml16_presgari. beamer source code for ECML-PKDD 2016 Doctoral Consortium presentation