probabilistic-circuits

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

Sparse Circuits on the GPU (ICLR2025)

Squared Non-monotonic Probabilistic Circuits

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

🎲 A Kotlin DSL for probabilistic programming.

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

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