Probabilistic Circuits from the Juice library

a python framework to build, learn and reason about probabilistic circuits and tensor networks

A Python Library for Deep Probabilistic Modeling

How to Turn Your Knowledge Graph Embeddings into Generative Models

Squared Non-monotonic Probabilistic Circuits

PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020

PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021

🎲 A Kotlin DSL for probabilistic programming.

Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models

Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)

Probabilistic Circuits in Julia

Barebone slides introducing sum-product networks.

C++ implementation of parameter learning algorithms for Sum-Product Networks, aka Probabilistic Circuits

Website for the AAAI'25 Workshop on "Connectin Low-Rank Representations in AI"

Undergraduate honours project exploring learning Gaussian Mixture Models with negative components.

Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs

GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings

Materials for the AAAI'25 tutorial "From Tensor Factorizations to Circuits (and Back)"