probabilistic-circuits
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
Sparse Circuits on the GPU (ICLR2025)
a python framework to build, learn and reason about probabilistic circuits and tensor networks
Compile system models to d-DNNF circuits, then diagnose, track, and learn on one artifact: exact posteriors, ranked diagnoses, mode tracking, EM — with a PyTorch backend for GPU inference.
A Python Library for Deep Probabilistic Modeling
