Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

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

Probabilistic Circuits from the Juice library

A Python Library for Deep Probabilistic Modeling

How to Turn Your Knowledge Graph Embeddings into Generative Models

Squared Non-monotonic Probabilistic Circuits

Sparse Circuits on the GPU (ICLR2025)

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

A novel neural architecture that embeds probabilistic reasoning directly into the computational units of deep networks.

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

Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs

GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings

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"

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